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Dissertations / Theses on the topic 'Non-negative'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Dirdal, Christopher Andrew. "Negative Refraction in Non-Magnetic Metamaterials." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19337.

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The discoveries and subsequent developments within the field of metamaterials have opened up for novel light-matter interactions towards the engineering of light behavior. The astonishing phenomenon of negative refraction remains challenging to realize for visible frequencies, and non-magnetic gain metamaterials have been proposed towards this end. This thesis pursues this idea by presenting a conceptual framework for which to understand the requirements and possibilities emerging from the causal behavior of the dielectric response. This results in clear and concrete instructions on how the dielectric response must be designed towards negative refraction. These are offered in terms of a novel perspective employing zero- and pole placements in rational functions and analysis of the dielectric function in its complex plane. A number of negative index systems are evaluated including two component media and low gain negative index media. Negative index concepts are introduced to the Electromagnetically Induced Transparency system. A strategy towards design and realization of arbitrary dielectric responses in terms of Krein and Nudel'man causal extrapolation is also presented.

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2

Kudzin, Matthew. "Cohomogeneity one manifolds of non-negative curvature." [Bloomington, Ind.] : Indiana University, 2004. http://wwwlib.umi.com/dissertations/fullcit/3162245.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2004.
Title from PDF t.p. (viewed Dec. 1, 2008). Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0307. Chair: Ji-Ping Sha.

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3

Sanja, Brdar. "Non-negative matrix factorization for integrative clustering." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2016. https://www.cris.uns.ac.rs/record.jsf?recordId=101841&source=NDLTD&language=en.

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Integrative approaches are motivated by the desired improvement ofrobustness, stability and accuracy. Clustering, the prevailing technique forpreliminary and exploratory analysis of experimental data, may benefit fromintegration across multiple partitions. In this thesis we have proposedintegration methods based on non-negative matrix factorization that can fuseclusterings stemming from different data sets, different data preprocessingsteps or different sub-samples of objects or features. Proposed methods areevaluated from several points of view on typical machine learning data sets,synthetics data, and above all, on data coming form bioinformatics realm,which rise is fuelled by technological revolutions in molecular biology. For avast amounts of 'omics' data that are nowadays available sophisticatedcomputational methods are necessary. We evaluated methods on problemfrom cancer genomics, functional genomics and metagenomics.
Предмет истраживања докторске дисертације су алгоритми кластеровања,односно груписања података, и могућности њиховог унапређењаинтегративним приступом у циљу повећања поузданости, робустности наприсуство шума и екстремних вредности у подацима, омогућавања фузијеподатака. У дисертацији су предложене методе засноване на ненегативнојфакторизацији матрице. Методе су успешно имплементиране и детаљноанализиране на разноврсним подацима са UCI репозиторијума исинтетичким подацима које се типично користе за евалуацију новихалгоритама и поређење са већ постојећим методама. Већи деодисертације посвећен је примени у домену биоинформатике која обилујехетерогеним подацима и бројним изазовним задацима. Евалуација јеизвршена на подацима из домена функционалне геномике, геномике рака иметагеномике.
Predmet istraživanja doktorske disertacije su algoritmi klasterovanja,odnosno grupisanja podataka, i mogućnosti njihovog unapređenjaintegrativnim pristupom u cilju povećanja pouzdanosti, robustnosti naprisustvo šuma i ekstremnih vrednosti u podacima, omogućavanja fuzijepodataka. U disertaciji su predložene metode zasnovane na nenegativnojfaktorizaciji matrice. Metode su uspešno implementirane i detaljnoanalizirane na raznovrsnim podacima sa UCI repozitorijuma isintetičkim podacima koje se tipično koriste za evaluaciju novihalgoritama i poređenje sa već postojećim metodama. Veći deodisertacije posvećen je primeni u domenu bioinformatike koja obilujeheterogenim podacima i brojnim izazovnim zadacima. Evaluacija jeizvršena na podacima iz domena funkcionalne genomike, genomike raka imetagenomike.

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4

Xue, Yun. "Non-negative matrix factorization for face recognition." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/815.

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5

Chreiky, Robert. "Informed Non-Negative Matrix Factorization for Source Apportionment." Thesis, Littoral, 2017. http://www.theses.fr/2017DUNK0464/document.

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Le démélange de sources pour la pollution de l'air peut être formulé comme un problème de NMF en décomposant la matrice d'observation X en le produit de deux matrices non négatives G et F, respectivement la matrice de contributions et de profils. Généralement, les données chimiques sont entâchées d'une part de données aberrantes. En dépit de l'intérêt de la communauté pour les méthodes de NMF, elles souffrent d'un manque de robustesse à un faible nombre de données aberrantes et aux conditions initiales et elles fournissent habituellement de multiples minimas. En conséquence, cette thèse est orientée d'une part vers les méthodes de NMF robustes et d'autre part vers les NMF informées qui utilisent une connaissance experte particulière. Deux types de connaissances sont introduites dans la matrice de profil F. La première hypothèse est la connaissance exacte de certaines composantes de la matrice F tandis que la deuxième information utilise la propriété de somme-à-1 de chaque ligne de la matrice F. Une paramétrisation qui tient compte de ces deux informations est développée et des règles de mise à jour dans le sous-espace des contraintes sont proposées. L'application cible qui consiste à identifier les sources de particules dans l'air dans la région côtière du nord de la France montre la pertinence des méthodes proposées. Dans la série d'expériences menées sur des données synthétiques et réelles, l'effet et la pertinence des différentes informations sont mises en évidence et rendent les résultats de factorisation plus fiables
Source apportionment for air pollution may be formulated as a NMF problem by decomposing the data matrix X into a matrix product of two factors G and F, respectively the contribution matrix and the profile matrix. Usually, chemical data are corrupted with a significant proportion of abnormal data. Despite the interest for the community for NMF methods, they suffer from a lack of robustness to a few abnormal data and to initial conditions and they generally provide multiple minima. To this end, this thesis is oriented on one hand towards robust NMF methods and on the other hand on informed NMF by using some specific prior knowledge. Two types of knowlodge are introduced on the profile matrix F. The first assumption is the exact knowledge on some of flexible components of matrix F and the second hypothesis is the sum-to-1 constraint on each row of the matrix F. A parametrization able to deal with both information is developed and update rules are proposed in the space of constraints at each iteration. These formulations have been appliede to two kind of robust cost functions, namely, the weighted Huber cost function and the weighted αβ divergence. The target application-namely, identify the sources of particulate matter in the air in the coastal area of northern France - shows relevance of the proposed methods. In the numerous experiments conducted on both synthetic and real data, the effect and the relevance of the different information is highlighted to make the factorization results more reliable

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6

Ceruelo, Víctor Pablos. "Negative non-ground queries in well founded semantics." Master's thesis, Faculdade de Ciências e Tecnologia, 2009. http://hdl.handle.net/10362/6163.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Computational Logic
The existing implementations of Well Founded Semantics restrict or forbid the use of variables when using negative queries, something which is essential for using logic programming as a programming language. We present a procedure to obtain results under the Well Founded Semantics that removes this constraint by combining two techniques: the transformation presented in [MMNMH08] to obtain from a program its dual and the derivation procedure presented in [PAP+91] to determine if a query belongs or not to the Well Founded Model of a program. Some problems arise during their combination, mainly due to the original environment for which each one was designed: results obtained in the first one obey a variant of Kunen Semantics and non-ground programs are not allowed (or previously grounded) in the second one. Most of these problems were solved by using abductive techniques, which lead us to observe that the existing implementations of abduction in logic programming disallow the use of variables. The reason for that is the impossibility to evaluate non-ground queries, so it seemed interesting to develop an abductive framework making use of our negation system. Both goals are achieved in this thesis: the capability of solving non-ground queries under Well Founded Semantics and the use of variables in abductive logic programming.

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7

陳鋼 and Kong Chan. "Linear preservers of operators with non-negative generalized numericalranges." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B30488448.

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8

Rolet, Antoine. "Optimal Transport Dictionary Learning and Non-negative Matrix Factorization." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263775.

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9

Kunert, Aaron [Verfasser]. "Facial Structure of Cones of non-negative Forms / Aaron Kunert." Konstanz : Bibliothek der Universität Konstanz, 2014. http://d-nb.info/105323127X/34.

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10

Lim, Poon Chuan Adrian. "Path integrals on a compact manifold with non-negative curvature." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3211935.

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Thesis (Ph. D.)--University of California, San Diego, 2006.
Title from first page of PDF file (viewed June 21, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 97-100).

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11

Walsh, Timothy Rutland. "Inducible #Beta#-lactamase expression in non-fastidious gram-negative bacilli." Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283954.

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12

Chan, Kong. "Linear preservers of operators with non-negative generalized numerical ranges /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21556556.

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13

Gerke, Stefanie. "Weighted colouring and channel assignment." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325977.

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14

Eubanks, Sherod. "On the construction of nonnegative symmetric and normal matrices with prescribed spectral data." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Fall2009/s_eubanks_112409.pdf.

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15

Götmark, Elin, and Kaj Nyström. "Boundary behaviour of non-negative solutions to degenerate sub-elliptic equations." Uppsala universitet, Analys och tillämpad matematik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-164532.

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Let X = {X-1, ..., X-m} be a system of C-infinity vector fields in R-n satisfying Hormander's finite rank condition and let Omega be a non-tangentially accessible domain with respect to the Carnot-Caratheodory distance d induced by X. We study the boundary behavior of non-negative solutions to the equation Lu = Sigma(i, j -1) X-i*(a(ij)X(j)u) = Sigma X-i, j=1(i)*(x)(aij(x)X-j(x)u(x)) = 0 for some constant beta >= 1 and for some non-negative and real-valued function lambda = lambda(x). Concerning kappa we assume that lambda defines an A(2)-weight with respect to the metric introduced by the system of vector fields X =, {X-1,..., X-m}. Our main results include a proof of the doubling property of the associated elliptic measure and the Holder continuity up to the boundary of quotients of non-negative solutions which vanish continuously on a portion of the boundary. Our results generalize previous results of Fabes et al. (1982, 1983) [18-20] (m = n, {X-(1), ..., X-m} = {partial derivative(x1), ...., partial derivative x(n)}, A is an A(2)-weight) and Capogna and Garofalo (1998) [6] (X = {X-1,..., X-m} satisfies Hormander's finite rank condition and X(x) equivalent to lambda A for some constant lambda). One motivation for this study is the ambition to generalize, as far as possible, the results in Lewis and Nystrom (2007, 2010, 2008) [35-38], Lewis et al. (2008) [34] concerning the boundary behavior of non-negative solutions to (Euclidean) quasi-linear equations of p-Laplace type, to non-negative solutions, to certain sub-elliptic quasi-linear equations of p-Laplace type.

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Klingenberg, Bradley J. "Non-negative matrix factorization: The extreme data property and ill-posedness." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1442937.

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17

Al, Tmeme Ahmed Sattar Hadi. "Underdetermined convolutive source separation using two dimensional non-negative factorization techniques." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3721.

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In this thesis the underdetermined audio source separation has been considered, that is, estimating the original audio sources from the observed mixture when the number of audio sources is greater than the number of channels. The separation has been carried out using two approaches; the blind audio source separation and the informed audio source separation. The blind audio source separation approach depends on the mixture signal only and it assumes that the separation has been accomplished without any prior information (or as little as possible) about the sources. The informed audio source separation uses the exemplar in addition to the mixture signal to emulate the targeted speech signal to be separated. Both approaches are based on the two dimensional factorization techniques that decompose the signal into two tensors that are convolved in both the temporal and spectral directions. Both approaches are applied on the convolutive mixture and the high-reverberant convolutive mixture which are more realistic than the instantaneous mixture. In this work a novel algorithm based on the nonnegative matrix factor two dimensional deconvolution (NMF2D) with adaptive sparsity has been proposed to separate the audio sources that have been mixed in an underdetermined convolutive mixture. Additionally, a novel Gamma Exponential Process has been proposed for estimating the convolutive parameters and number of components of the NMF2D/ NTF2D, and to initialize the NMF2D parameters. In addition, the effects of different window length have been investigated to determine the best fit model that suit the characteristics of the audio signal. Furthermore, a novel algorithm, namely the fusion K models of full-rank weighted nonnegative tensor factor two dimensional deconvolution (K-wNTF2D) has been proposed. The K-wNTF2D is developed for its ability in modelling both the spectral and temporal changes, and the spatial covariance matrix that addresses the high reverberation problem. Variable sparsity that derived from the Gibbs distribution is optimized under the Itakura-Saito divergence and adapted into the K-wNTF2D model. The tensors of this algorithm have been initialized by a novel initialization method, namely the SVD two-dimensional deconvolution (SVD2D). Finally, two novel informed source separation algorithms, namely, the semi-exemplar based algorithm and the exemplar-based algorithm, have been proposed. These algorithms based on the NMF2D model and the proposed two dimensional nonnegative matrix partial co-factorization (2DNMPCF) model. The idea of incorporating the exemplar is to inform the proposed separation algorithms about the targeted signal to be separated by initializing its parameters and guide the proposed separation algorithms. The adaptive sparsity is derived for both ii of the proposed algorithms. Also, a multistage of the proposed exemplar based algorithm has been proposed in order to further enhance the separation performance. Results have shown that the proposed separation algorithms are very promising, more flexible, and offer an alternative model to the conventional methods.

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18

Moda, Hari Priya. "Non-Negative Least Square Optimization Model for Industrial Peak Load Estimation." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/36003.

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Load research is the study of load characteristics on a power distribution system which helps planning engineer make decisions about equipment ratings and future expansion decisions. As it is expensive to collect and maintain data across the entire system, data is collected only for a sample of customers, where the sample is divided into groups based upon the customer class. These sample measurements are used to calculate the load research factors like kWHr-to-peak kW conversion factors, diversity factors and 24 hour average consumption as a function of class, month and day type. These factors are applied to the commonly available monthly billing kW data to estimate load on the system. Among various customers on a power system, industrial customers form an important group for study as their annual kWHr consumption is among the highest. Also the errors with which the estimates are calculated are also highest for this class. Hence we choose the industrial class to demonstrate the Lawson-Hanson Non-Negative Least Square (NNLS) optimization technique to minimize the residual squared error between the estimated loads and the SCADA currents on the system. Five feeders with industrial dominant customers are chosen to demonstrate the improvement provided by the NNLS model. The results showed significant improvement over the Nonlinear Load Research Estimation (NLRE) method.
Master of Science

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19

Ayat, Nadia R. "IMAGE-GUIDED NON-VIRAL GENE THERAPY OF TRIPLE NEGATIVE BREAST CANCER." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1557501667177833.

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20

Hart, Breanna N. "Noise Separation in Frequency Following Responses through Non-negative Matrix Factorizations." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou16274201269135.

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Hart, Breanna N. "Noise Separation in Frequency Following Responses through Non-negative Matrix Factorizations." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou16274201269135.

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22

Morris, Deanne. "Combinatorial properties of nonnegative and eventually nonnegative matrices." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Dissertations/Summer2008/D_Morris_072208.pdf.

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23

Li, Xianjun [Verfasser], and Kurt [Akademischer Betreuer] Jetter. "SIA matrices and non-negative stationary subdivision / Xianjun Li. Betreuer: Kurt Jetter." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2012. http://d-nb.info/1027354033/34.

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24

Jeetley, Paramjit Singh. "The non-invasive assessment of patients presenting with troponin negative chest pain." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535201.

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Zhang, Zhiqiang, and 張志強. "On tail behaviour and extremal values of some non-negative time seriesmodels." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B30162440.

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Almahroug, Alhasan Ali Mosftah. "Non-foster antenna matching networks using reflection-mode negative-group-delay networks." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8417/.

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Non-Foster networks provide a possible route for broad band matching of antennas. The major challenges when designing non-Foster elements using conventional Negative Impedance Converters (NICs) arise from the stability concerns, due to the existence of the feedback in the circuitry and the generation of negative impedance. Therefore, investigation of alternative means for designing non-Foster elements which are more stable is imperative. This thesis presents a new perspective in designing non-Foster reactive elements based on negative group delay (NGD) networks. A novel reflection-mode NGD network is designed, fabricated and tested. Subsequently, a novel approach which contains a negative resistance amplifier and a Lange coupler is introduced to compensate the losses of the NGD networks. A simple equivalent circuit model (-L, -C) of the proposed NGD-based non-Foster network is presented and can be used to deploy the non-Foster network in an antenna matching network. Theoretical analysis based on Nyquist approach shows that stability can be achieved but practical implementation issues can cause stability problems. . Finally, approximate calculations of the non-linearity and noise performance addressing the operational limitations of the proposed circuit in transmit and receive applications have been introduced.

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Waggoner, Alexander A. "Triple Non-negative Matrix Factorization Technique for Sentiment Analysis and Topic Modeling." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1550.

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Topic modeling refers to the process of algorithmically sorting documents into categories based on some common relationship between the documents. This common relationship between the documents is considered the “topic” of the documents. Sentiment analysis refers to the process of algorithmically sorting a document into a positive or negative category depending whether this document expresses a positive or negative opinion on its respective topic. In this paper, I consider the open problem of document classification into a topic category, as well as a sentiment category. This has a direct application to the retail industry where companies may want to scour the web in order to find documents (blogs, Amazon reviews, etc.) which both speak about their product, and give an opinion on their product (positive, negative or neutral). My solution to this problem uses a Non-negative Matrix Factorization (NMF) technique in order to determine the topic classifications of a document set, and further factors the matrix in order to discover the sentiment behind this category of product.

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Song, Keum Su. "Non-Foster Impedance Matching and Loading Networks for Electrically Small Antennas." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308313555.

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Wiemeler, Michael [Verfasser], and Bernhard [Akademischer Betreuer] Hanke. "Torus actions and positive and non-negative curvature / Michael Wiemeler ; Betreuer: Bernhard Hanke." Augsburg : Universität Augsburg, 2017. http://d-nb.info/1136271430/34.

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Krause-Solberg, Sara [Verfasser], and Armin [Akademischer Betreuer] Iske. "Non-Negative Dimensionality Reduction in Signal Separation / Sara Krause-Solberg. Betreuer: Armin Iske." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2016. http://d-nb.info/1113184361/34.

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Hutton, Jane Louise. "Non-negative time series and shot noise processes as models for dry rivers." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/38044.

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TAECHAWATTANANANT, PASRAWIN. "Peak identification and quantification in proteomic mass spectrograms using non-negative matrix factorization." Doctoral thesis, Kyoto University, 2020. http://hdl.handle.net/2433/253496.

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京都大学
0048
新制・課程博士
博士(薬科学)
甲第22651号
薬科博第123号
新制||薬科||13(附属図書館)
京都大学大学院薬学研究科薬科学専攻
(主査)教授石濱泰, 教授緒方博之, 教授馬見塚拓, 教授山下富義
学位規則第4条第1項該当
Doctor of Pharmaceutical Sciences
Kyoto University
DFAM

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Walsh, Sean. "Depression, catastrophising and repetitive negative thinking in patients with psychogenic non-epileptic seizures." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18228/.

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A systematic review identified 34 studies allowing direct comparisons of depression in patients with psychogenic non-epileptic seizures (PNES) and patients with epilepsy. A meta-analysis found patients with PNES self-reported significantly higher levels of depression than patients with epilepsy. However, group differences in rates of clinical depression were less pronounced, suggesting either under-diagnosis or over self-reporting of depression in patients with PNES. Patients with PNES reported more physical symptoms of depression than those with epilepsy. Whilst depression had a similar effect on health-related quality of life in both patient groups, it was more closely associated with seizure-related variables in patients with epilepsy and interpersonal factors in patients with PNES. A core cognitive feature of depression is repetitive negative thinking, which is a common element of many psychiatric disorders. To explore repetitive negative thinking and catastrophising of seizures in patients with PNES and patients with epilepsy, 59 participants completed a series of self-report questionnaires and 29 also completed a masked and unmasked emotional Stroop task. Patients with PNES self-reported higher levels of repetitive negative thinking, catastrophising of seizures, anxiety and depression than patients with epilepsy; although no significant group differences were found on either emotional Stroop task. This suggested a difference between self-reported catastrophising of seizures and implicit seizure phobia. A possible link between repetitive negative thinking and emotional avoidance could account for these findings. The elevated levels of repetitive negative thinking in patients with PNES suggest this could be a target for psychological intervention.

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Moreno, Ávila Carlos Jesús. "Global geometry of surfaces defined by non-positive and negative at infinity valuations." Doctoral thesis, Universitat Jaume I, 2021. http://hdl.handle.net/10803/672247.

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We consider plane divisorial valuations of Hirzebruch surfaces and introduce the concepts of non-positivity and negativity at infinity. We prove that the surfaces given by valuations of the last types have nice global and local geometric properties. Moreover, non-positive at infinity divisorial valuations are those divisorial valuations of Hirzebruch surfaces providing rational surfaces with minimal generated cone of curves. Non-positivity and negativity at infinity are also extended to the class of real valuations of the projective plane and the Hirzebruch surfaces. Finally, we compute the Seshadri-type constants for pairs formed by a big divisor and a divisorial valuation of a Hirzebruch surface and obtain the vertices of the Newton-Okounkov bodies of pairs as above under the non-positivity at infinity property.
Introducimos los conceptos de no positividad y negatividad en el infinito para valoraciones planas divisoriales de una superficie de Hirzebruch. Probamos que las superficies dadas por valoraciones con las características anteriores poseen interesantes propiedades globales y locales. Además, las valoraciones divisoriales no positivas en el infinito son aquellas valoraciones divisoriales de superficies de Hirzebruch que dan lugar a superficies racionales tales que su cono de curvas está generado por un número mínimo de generadores. Los conceptos de no positividad y negatividad en el infinito también se extienden a valoraciones reales del plano proyectivo y de superficies de Hirzebruch. Por último, calculamos explícitamente las constantes de tipo Seshadri para pares formados por divisores big y valoraciones divisoriales de superficies de Hirzebruch y obtenemos los vértices de los cuerpos de Newton-Okounkov para pares como los anteriores bajo la condición de no positividad en el infinito.
Programa de Doctorat en Ciències

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35

Gallagher, Robert Dale. "Pre-Expose Prophylaxis and Non-Monogamous, HIV Negative Gay Men in Serodiscordant Relationships." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5861.

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HIV transmission continues to increase for Gay men, especially for those Gay men in nonmonogamous serodiscordant relationships. As the use of PreExposure Prophylaxis (PrEP) increases, much less is known about how PrEP is creating social meaning and transforming the sexual behaviors of HIV negative, non-monogamous Gay men. Accordingly, the purpose of this study was to investigate the meaning making experiences of Gay men in nonmonogamous serodiscordant relationships. Using the Minority Stress Model, Resiliency Theory, and Queer Theory as theoretical frameworks, the research question for the study focused on how HIV negative Gay men who are on PrEP and involved in nonmonogamous serodiscordant relationships navigate their sexual lives. Interpretative Phenomenological Analysis was employed within a purposeful sample of 13 Gay men. The two themes of resiliency and reframing emerged from the descriptive coding, member checking, and triangulation of the data. Of the two themes identified, participants noted pre-PrEP resiliency strategies including looks and trust, while current PrEP strategies included strategic positioning, getting educated about HIV and PrEP, and dating undetectable men. Reframing experiences included marketability, greater feeling of sexual freedom and responsibility, new rules around nonmonogamy, increased sexual confidence, and new masculine terms for condomless anal sex. Findings and recommendations from the study may advance positive social change when researchers and practitioners combat stigma, understand perceived lower risk of HIV transmission through new resiliency techniques, and facilitate the reframing of sex within an individual, relational, and Gay cultural context.

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Li, Kendrick T. "Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136688034675.

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Ma, Wen. "Studies on Surface Modified Non-graphitizable Carbon Negative Electrodes in Lithium-ion Batteries." Kyoto University, 2017. http://hdl.handle.net/2433/227632.

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Krause-Solberg, Sara Verfasser], and Armin [Akademischer Betreuer] [Iske. "Non-Negative Dimensionality Reduction in Signal Separation / Sara Krause-Solberg. Betreuer: Armin Iske." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2016. http://nbn-resolving.de/urn:nbn:de:gbv:18-80534.

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Rigaud, François. "Modèles de signaux musicaux informés par la physiques des instruments : Application à l'analyse automatique de musique pour piano par factorisation en matrices non-négatives." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0073/document.

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Cette thèse introduit des nouveaux modèles de signaux musicaux informés par la physique des instruments. Alors que les communautés de l'acoustique instrumentale et du traitement du signal considèrent la modélisation des sons instrumentaux suivant deux approches différentes (respectivement, une modélisation du mécanisme de production du son, opposée à une modélisation des caractéristiques "morphologiques" générales du son), cette thèse propose une approche collaborative en contraignant des modèles de signaux génériques à l'aide d'information basée sur l'acoustique. L'effort est ainsi porté sur la construction de modèles spécifiques à un instrument, avec des applications aussi bien tournées vers l'acoustique (apprentissage de paramètres liés à la facture et à l'accord) que le traitement du signal (transcription de musique). En particulier nous nous concentrons sur l'analyse de musique pour piano, instrument pour lequel les sons produits sont de nature inharmonique. Cependant, l'inclusion d'une telle propriété dans des modèles de signaux est connue pour entraîner des difficultés d'optimisation, allant jusqu'à endommager les performances (en comparaison avec un modèle harmonique plus simple) dans des tâches d'analyse telles que la transcription. Un objectif majeur de cette thèse est d'avoir une meilleure compréhension des difficultés liées à l'inclusion explicite de l'inharmonicité dans des modèles de signaux, et d'étudier l'influence de l'apport de cette information sur les performances d'analyse, en particulier dans une tâche de transcription
This thesis introduces new models of music signals informed by the physics of the instruments. While instrumental acoustics and audio signal processing target the modeling of musical tones from different perspectives (modeling of the production mechanism of the sound vs modeling of the generic "morphological'' features of the sound), this thesis aims at mixing both approaches by constraining generic signal models with acoustics-based information. Thus, it is here intended to design instrument-specific models for applications both to acoustics (learning of parameters related to the design and the tuning) and signal processing (transcription). In particular, we focus on piano music analysis for which the tones have the well-known property of inharmonicity. The inclusion of such a property in signal models however makes the optimization harder, and may even damage the performance in tasks such as music transcription when compared to a simpler harmonic model. A major goal of this thesis is thus to have a better understanding about the issues arising from the explicit inclusion of the inharmonicity in signal models, and to investigate whether it is really valuable when targeting tasks such as polyphonic music transcription

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McNally, Michael DeVita Paul. "POSITIVE VS. NEGATIVE MUSCLE WORK OF NON-LEVEL WALKING IN LEAN AND OBESE ADULTS." [Greenville, N.C.] : East Carolina University, 2010. http://hdl.handle.net/10342/2715.

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41

Engbers, Ralf [Verfasser], and Martin [Akademischer Betreuer] Burger. "Non-negative matrix factorization for dynamic positron emission tomography / Ralf Engbers ; Betreuer: Martin Burger." Münster : Universitäts- und Landesbibliothek Münster, 2019. http://d-nb.info/1175506494/34.

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Mattila, Robert. "On Identification of Hidden Markov Models Using Spectral and Non-Negative Matrix Factorization Methods." Thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165799.

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Hidden Markov Models (HMMs) are popular tools for modeling discrete time series. Since the parameters of these models can be hard to derive analytically or directly measure, various algorithms are available for estimating these from observed data. The most common method, the Expectation-Maximization algorithm, su ers from problems with local minima and slow convergence. A spectral algorithm that has received considerable attention in the eld of machine learning claims to avoid these issues. This thesis implements and benchmarks said algorithm on various systems to see how well it performs. One of the concerns with the proposed spectral algorithm is that it cannot guarantee that the estimates are stochastically valid: it may recover negative or complex probabilities, due to an eigenvalue decomposition. Another approach to the HMM identication problem is to leverage results from Non- Negative Matrix Factorization (NNMF) theory. Inspired by an algorithm employing a Structured NNMF (SNNMF), assumptions are presented to guarantee that the factorization problem can be cast into a convex optimization problem. Three novel recursive algorithms are then derived for estimating the dynamics of an HMM when the sensor dynamics are known. These can be used in an online setting where time and/or computational resources are limited, since they only require the current estimate of the HMM parameters and the new observation. Numerical results for the algorithms are provided.

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Santos, Rita de Cássia Moura Duarte dos. "Towards an error-based analysis of assertive, non-assertive and negative forms in english." reponame:Repositório Institucional da UFSC, 2013. https://repositorio.ufsc.br/handle/123456789/106188.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Florianópolis, 1982.
Made available in DSpace on 2013-12-05T19:32:58Z (GMT). No. of bitstreams: 1 321987.pdf: 2322225 bytes, checksum: 9c5ab310fe73bf6356452ad6a8ad34fd (MD5)

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Shen, Chong. "Topic Analysis of Tweets on the European Refugee Crisis Using Non-negative Matrix Factorization." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1388.

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The ongoing European Refugee Crisis has been one of the most popular trending topics on Twitter for the past 8 months. This paper applies topic modeling on bulks of tweets to discover the hidden patterns within these social media discussions. In particular, we perform topic analysis through solving Non-negative Matrix Factorization (NMF) as an Inexact Alternating Least Squares problem. We accelerate the computation using techniques including tweet sampling and augmented NMF, compare NMF results with different ranks and visualize the outputs through topic representation and frequency plots. We observe that supportive sentiments maintained a strong presence while negative sentiments such as safety concerns have emerged over time.

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Mak, Rachel Y. C. "Reducing Complexity| A Regularized Non-negative Matrix Approximation (NNMA) Approach to X-ray Spectromicroscopy Analysis." Thesis, Northwestern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3669280.

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X-ray absorption spectromicroscopy combines microscopy and spectroscopy to provide rich information about the chemical organization of materials down to the nanoscale. But with richness also comes complexity: natural materials such as biological or environmental science specimens can be composed of complex spectroscopic mixtures of different materials. The challenge becomes how we could meaningfully simplify and interpret this information. Approaches such as principal component analysis and cluster analysis have been used in previous studies, but with some limitations that we will describe. This leads us to develop a new approach based on a development of non-negative matrix approximation (NNMA) analysis with both sparseness and spectra similarity regularizations. We apply this new technique to simulated spectromicroscopy datasets as well as a preliminary study of the large-scale biochemical organization of a human sperm cell. NNMA analysis is able to select major features of the sperm cell without the physically erroneous negative weightings or thicknesses in the calculated image which appeared in previous approaches.

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Sokolov, Roman. "Convection in ethanol-water mixtures in the large negative separation ratio and non-Boussinesq regimes /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3167815.

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47

Filstroff, Louis. "Contributions to probabilistic non-negative matrix factorization - Maximum marginal likelihood estimation and Markovian temporal models." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0143.

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La factorisation en matrices non-négatives (NMF, de l’anglais non-negative matrix factorization) est aujourd’hui l’une des techniques de réduction de la dimensionnalité les plus répandues, dont les domaines d’application recouvrent le traitement du signal audio, l’imagerie hyperspectrale, ou encore les systèmes de recommandation. Sous sa forme la plus simple, la NMF a pour but de trouver une approximation d’une matrice des données non-négative (c’est-à-dire à coefficients positifs ou nuls) par le produit de deux matrices non-négatives, appelées les facteurs. L’une de ces matrices peut être interprétée comme un dictionnaire de motifs caractéristiques des données, et l’autre comme les coefficients d’activation de ces motifs. La recherche de cette approximation de rang faible s’effectue généralement en optimisant une mesure de similarité entre la matrice des données et son approximation. Il s’avère que pour de nombreux choix de mesures de similarité, ce problème est équivalent à l’estimation jointe des facteurs au sens du maximum de vraisemblance sous un certain modèle probabiliste décrivant les données. Cela nous amène à considérer un paradigme alternatif pour la NMF, dans lequel les taches d’apprentissage se portent sur des modèles probabilistes dont la densité d’observation est paramétrisée par le produit des facteurs non-négatifs. Ce cadre général, que nous appelons NMF probabiliste, inclut de nombreux modèles à variables latentes bien connus de la littérature, tels que certains modèles pour des données de compte. Dans cette thèse, nous nous intéressons à des modèles de NMF probabilistes particuliers pour lesquels on suppose une distribution a priori pour les coefficients d’activation, mais pas pour le dictionnaire, qui reste un paramètre déterministe. L'objectif est alors de maximiser la vraisemblance marginale de ces modèles semi-bayésiens, c’est-à-dire la vraisemblance jointe intégrée par rapport aux coefficients d’activation. Cela revient à n’apprendre que le dictionnaire, les coefficients d’activation pouvant être inférés dans un second temps si nécessaire. Nous entreprenons d’approfondir l’étude de ce processus d’estimation. En particulier, deux scénarios sont envisagées. Dans le premier, nous supposons l’indépendance des coefficients d’activation par échantillon. Des résultats expérimentaux antérieurs ont montré que les dictionnaires appris via cette approche avaient tendance à régulariser de manière automatique le nombre de composantes ; une propriété avantageuse qui n’avait pas été expliquée alors. Dans le second, nous levons cette hypothèse habituelle, et considérons des structures de Markov, introduisant ainsi de la corrélation au sein du modèle, en vue d’analyser des séries temporelles
Non-negative matrix factorization (NMF) has become a popular dimensionality reductiontechnique, and has found applications in many different fields, such as audio signal processing,hyperspectral imaging, or recommender systems. In its simplest form, NMF aims at finding anapproximation of a non-negative data matrix (i.e., with non-negative entries) as the product of twonon-negative matrices, called the factors. One of these two matrices can be interpreted as adictionary of characteristic patterns of the data, and the other one as activation coefficients ofthese patterns. This low-rank approximation is traditionally retrieved by optimizing a measure of fitbetween the data matrix and its approximation. As it turns out, for many choices of measures of fit,the problem can be shown to be equivalent to the joint maximum likelihood estimation of thefactors under a certain statistical model describing the data. This leads us to an alternativeparadigm for NMF, where the learning task revolves around probabilistic models whoseobservation density is parametrized by the product of non-negative factors. This general framework, coined probabilistic NMF, encompasses many well-known latent variable models ofthe literature, such as models for count data. In this thesis, we consider specific probabilistic NMFmodels in which a prior distribution is assumed on the activation coefficients, but the dictionary remains a deterministic variable. The objective is then to maximize the marginal likelihood in thesesemi-Bayesian NMF models, i.e., the integrated joint likelihood over the activation coefficients.This amounts to learning the dictionary only; the activation coefficients may be inferred in asecond step if necessary. We proceed to study in greater depth the properties of this estimation process. In particular, two scenarios are considered. In the first one, we assume the independence of the activation coefficients sample-wise. Previous experimental work showed that dictionarieslearned with this approach exhibited a tendency to automatically regularize the number of components, a favorable property which was left unexplained. In the second one, we lift thisstandard assumption, and consider instead Markov structures to add statistical correlation to themodel, in order to better analyze temporal data

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Hall, Benjamin B., Jon R. Webb, Loren Toussaint, and Jameson K. Hirsch. "Negative Religious Coping and Alcohol Misuse: Forgiveness and Humility among Religious Believers and Non-Believers." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/26.

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Introduction: Alcohol misuse is a major public health concern, resulting in an estimated 88,000 deaths annually in the U.S. Negative religious coping (NRC) is a known risk factor for alcohol misuse; yet, research has not examined potential protective factors that might weaken this linkage. Forgiveness and humility are commonly-studied spiritual factors linked to positive health-related outcomes, but they have not been explored in the context of NRC and alcohol misuse. In our study, we assessed the potential protective role of forgiveness and humility in the association between NRC and alcohol misuse, among religious believers and non-believers. Methods: Participants in this IRB-approved study were recruited online via Amazon’s Mechanical Turk and self-identified as religious believers (n = 146) or non-believers (n = 120). After providing informed consent, participants completed self-report surveys including the Alcohol Use Disorders Identification Test (AUDIT), Brief RCOPE, Heartland Forgiveness Scale (Forgiveness of Others), and a single item measure of humility. Results: At the bivariate level, for religious non-believers, humility was positively associated with forgiveness (r = .27, p < .01) and negatively associated with NRC (r = -.20, p < .05) and AUDIT scores (r = -.17, p < .05). Forgiveness was negatively associated with NRC (r = -.18, p < .05) and NRC was positively associated with AUDIT scores (r = .28, p < .01). For religious believers, humility was positively associated with forgiveness (r = .25, p < .01) and negatively associated with AUDIT scores (r = -.17, p < .05). Forgiveness was negatively associated with NRC (r = -.29, p < .01) and AUDIT scores (r = -.20, p < .01) and NRC was positively associated with AUDIT scores (r = -.22, p < .01). At the multivariate level, for religious believers, forgiveness moderated the relation between NRC and AUDIT scores (R2Δ = .04, p = .01), but humility did not. For religious non-believers, humility moderated the relation between NRC and AUDIT scores (R2Δ = .07, p < .01, but forgiveness did not. Conclusions: Negative religious coping is a significant risk factor for alcohol misuse among religious believers and non-believers. In the context of NRC, positive psychological constructs may provide a novel approach to reducing alcohol misuse. Forgiveness of others was protective against alcohol use problems for religious believers engaging in NRC, whereas humility was protective for religious non-believers. As a tenet of most religions, forgiveness of others may be particularly significant for religious believers in resolving NRC, of which a feature is feeling abandoned by other religious believers. For non-believers, NRC may manifest as questioning the existence of God, and humility may promote a sense of comfort in their uncertainty. Positive psychology interventions such as forgiveness therapy or the PROVE humility intervention may be effective interventions for alcohol misuse, in the context of NRC.

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Sadek, Susan. "Attentional bias towards positive and negative imagery amongst offenders and non-offenders with intellectual disabilities." Thesis, University of East Anglia, 2014. https://ueaeprints.uea.ac.uk/50732/.

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Introduction: Theories of moral reasoning, empathy and information processing have long been used to explain offending behaviour in people with intellectual disabilities (ID), and the way in which attention is allocated to stimuli is thought to be integral to developmental models of offending that incorporate these ideas (Garrigan & Langdon, In Press). The present study sought to examine empathy and attentional bias in ID offenders (IDO) and ID non-offenders (IDNO). Methods: Men with mild ID (IDO n = 34; IDNO n = 32) completed a self-report empathy measure, and an affective dot-probe task containing negative, positive, and neutral images. Reaction times (RT) to computerised trials were recorded. Results: (1) The IDO group had significantly lower empathy scores than the IDNO group; (2) within group comparisons showed that RT in the IDO group were similar across trial types, whilst the IDNO group had significantly slower RT the affective trials than neutral trials; (3) between group analysis revealed a significant group difference in attentional bias for negative-affective and global-affective stimuli (positive and negative images collapsed together); and (4) across all participants, attentional bias could not explain a significant percentage of the variance in empathy. Discussion: The findings suggest that IDO attentional allocation is unaffected by the stimuli content, whilst attention in the IDNO group is significantly biased away from negative- and global-affective information in comparison to IDO. However, attentional bias could not explain any variance in empathic abilities. The findings provide some support for the application of attentional theories of information processing to this population. Further research in people with ID could lead to the use of attentional bias paradigms as unbiased pre- and post-intervention measures, and may even have application in an intervention context, in the form of cognitive bias modification.

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Ng, Ka-chun, and 吳嘉俊. "Total positivity in some classical groups." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987838.

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