Relevant bibliographies by topics / Non-negative

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Non-negative'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Non-negative"

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Anděl, Martin. "Non-negative linear processes." Applications of Mathematics 36, no. 4 (1991): 277–83. http://dx.doi.org/10.21136/am.1991.104466.

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Taylor, Mark C., Jacques Derrida, Sanford Budick, and Wolfgang Iser. "Non-Negative Negative Atheology." Diacritics 20, no. 4 (1990): 2. http://dx.doi.org/10.2307/465200.

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Mohapl, Jaroslav. "On weakly convergent nets in spaces of non-negative measures." Czechoslovak Mathematical Journal 40, no. 3 (1990): 408–21. http://dx.doi.org/10.21136/cmj.1990.102393.

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Grone, Robert, and Stephen Pierce. "Decomposably non-negative matrices." Linear and Multilinear Algebra 41, no. 1 (July 1996): 63–79. http://dx.doi.org/10.1080/03081089608818462.

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Mathai, Varghese. "Non-negative scalar curvature." Annals of Global Analysis and Geometry 10, no. 2 (1992): 103–23. http://dx.doi.org/10.1007/bf00130915.

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Anděl, Jiří. "NON-NEGATIVE AUTOREGRESSIVE PROCESSES." Journal of Time Series Analysis 10, no. 1 (January 1989): 1–11. http://dx.doi.org/10.1111/j.1467-9892.1989.tb00011.x.

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Hong-zhi, An. "NON-NEGATIVE AUTOREGRESSIVE MODELS." Journal of Time Series Analysis 13, no. 4 (July 1992): 283–95. http://dx.doi.org/10.1111/j.1467-9892.1992.tb00108.x.

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Wever, U. "Non-negative exponential splines." Computer-Aided Design 20, no. 1 (January 1988): 11–16. http://dx.doi.org/10.1016/0010-4485(88)90136-4.

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Phuong, Dinh Thi Dong, and Hiromitsu Shimakawa. "Analyzing Learning Behavior of Student Persona toward Non-Negative Matrix Factorization." International Journal of Information and Education Technology 5, no. 11 (2015): 826–31. http://dx.doi.org/10.7763/ijiet.2015.v5.620.

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Ali, Humayra Binte, David M. W. Powers, Xibin Jia, and Yanhua Zhang. "Extended Non-negative Matrix Factorization for Face and Facial Expression Recognition." International Journal of Machine Learning and Computing 5, no. 2 (April 2015): 142–47. http://dx.doi.org/10.7763/ijmlc.2015.v5.498.

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Dissertations / Theses on the topic "Non-negative"

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Non-negative"

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Naik, Ganesh R., ed. Non-negative Matrix Factorization Techniques. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48331-2.

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Berman, Abraham. Nonnegative matrices in the mathematical sciences. Philadelphia: Society for Industrial and Applied Mathematics, 1994.

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Ennis, Marguerite. Modelling non-negative outcomes using B-splines. Toronto: [s.n.], 1996.

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Dearricott, Owen, Fernando Galaz-García, Lee Kennard, Catherine Searle, Gregor Weingart, and Wolfgang Ziller. Geometry of Manifolds with Non-negative Sectional Curvature. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06373-7.

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Nonnegative matrices. New York: Wiley, 1988.

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Bapat, R. B. Nonnegative matrices and applications. Cambridge, UK: Cambridge University Press, 1997.

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Minc, Henryk. Nonnegative matrices. New York: Wiley, 1988.

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Alexander, Graham. Nonnegative matrices and applicable topics in linear algebra. Chichester: E. Horwood, 1987.

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Neumann, Michael, 1946 Nov. 23- and Stern Ronald J, eds. Nonnegative matrices in dynamic systems. New York: Wiley, 1989.

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Sachkov, Vladimir Nikolaevich. Kombinatorika neotrit︠s︡atelʹnykh matrit︠s︡. Moskva: Nauch. izd-vo "TVP", 2000.

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Book chapters on the topic "Non-negative"

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Berman, Abraham, and Naomi Shaked-Monderer. "Non-negative Matrices and Digraphs." In Computational Complexity, 2082–95. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_132.

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Hyvärinen, Aapo, Jarmo Hurri, and Patrik O. Hoyer. "Overcomplete and Non-negative Models." In Computational Imaging and Vision, 277–93. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-491-1_13.

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Berman, Abraham, and Naomi Shaked-Monderer. "Non-negative Matrices and Digraphs." In Encyclopedia of Complexity and Systems Science, 6239–52. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_368.

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Lopes, Noel, and Bernardete Ribeiro. "Non-Negative Matrix Factorization (NMF)." In Studies in Big Data, 127–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06938-8_7.

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Patrick, Sheila, and Brian I. Duerden. "Non-Sporing Gram-Negative Anaerobes." In Principles and Practice of Clinical Bacteriology, 541–56. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470017968.ch45.

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Sao, Piyush, and Ramakrishnan Kannan. "Multifrontal Non-negative Matrix Factorization." In Parallel Processing and Applied Mathematics, 543–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43229-4_46.

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Pannu, Neesh, Xiaoyan Wen, John A. Kellum, John Fildes, N. Al-Subaie, Mark Hamilton, Susan M. Lareau, et al. "Negative or Non-therapeutic Celiotomy." In Encyclopedia of Intensive Care Medicine, 1518. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_1933.

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Benlamine, Kaoutar, Nistor Grozavu, Younès Bennani, and Basarab Matei. "Collaborative Non-negative Matrix Factorization." In Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, 655–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30490-4_52.

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Schmidt, Mikkel N., Ole Winther, and Lars Kai Hansen. "Bayesian Non-negative Matrix Factorization." In Independent Component Analysis and Signal Separation, 540–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_68.

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Park, Sun. "Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable." In Lecture Notes in Computer Science, 298–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88906-9_38.

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Conference papers on the topic "Non-negative"

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Gruninger, John. "Non-negative factorization of non-negative matrices." In Remote Sensing, edited by Lorenzo Bruzzone. SPIE, 2007. http://dx.doi.org/10.1117/12.738381.

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Hamar, Jarle Bauck, Rama Sanand Doddipatla, Torbjorn Svendsen, and Thippur Sreenivas. "Non-negative durational HMM." In 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2013. http://dx.doi.org/10.1109/mlsp.2013.6661976.

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Luo, Dijun, Chris Ding, Heng Huang, and Tao Li. "Non-negative Laplacian Embedding." In 2009 Ninth IEEE International Conference on Data Mining (ICDM). IEEE, 2009. http://dx.doi.org/10.1109/icdm.2009.74.

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Jianchao Yang, Shuicheng Yang, Yun Fu, Xuelong Li, and Thomas Huang. "Non-negative graph embedding." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587665.

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Lu, Deji, Yu Sun, and Suiren Wan. "Brain tumor classification using non-negative and local non-negative matrix factorization." In 2013 IEEE International Conference on Signal Processing, Communications and Computing. IEEE, 2013. http://dx.doi.org/10.1109/icspcc.2013.6664143.

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Morup, Morten, Kristoffer H. Madsen, and Lars K. Hansen. "Shifted Non-Negative Matrix Factorization." In 2007 IEEE Workshop on Machine Learning for Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/mlsp.2007.4414296.

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Takeuchi, Koh, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, and Hiroshi Sawada. "Non-negative Multiple Tensor Factorization." In 2013 IEEE International Conference on Data Mining (ICDM). IEEE, 2013. http://dx.doi.org/10.1109/icdm.2013.83.

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Wenwu Wang. "Convolutive non-negative sparse coding." In 2008 IEEE International Joint Conference on Neural Networks (IJCNN 2008 - Hong Kong). IEEE, 2008. http://dx.doi.org/10.1109/ijcnn.2008.4634325.

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Lenz, R., and T. H. Bui. "Recognition of non-negative patterns." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334575.

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Li, Le, and Yu-Jin Zhang. "Non-negative Matrix-Set Factorization." In Fourth International Conference on Image and Graphics (ICIG 2007). IEEE, 2007. http://dx.doi.org/10.1109/icig.2007.103.

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Reports on the topic "Non-negative"

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Kounchev, Ognyan, and Hermann Render. Study of Non-negative Exponential Polynomials. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, August 2018. http://dx.doi.org/10.7546/crabs.2018.08.03.

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G.W. Hammett, S.C. Jardin, and B.C. Stratton. Non-existence of Normal Tokamak Equilibria with Negative Central Current. Office of Scientific and Technical Information (OSTI), February 2003. http://dx.doi.org/10.2172/812029.

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Alexandrov, Boian, Velimir Valentinov Vesselinov, and Hristo Nikolov Djidjev. Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1417803.

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Carnahan, B. Bilateral agreements providing negative security assurances to states party to the Nuclear Non-Proliferation Treaty. [Negative Security Assurances]. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/7156719.

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Montes, Rodrigo Ristow. A Remark on Compact Minimal Surfaces in S5 With Non-Negative Gaussian Curvature. Journal of Geometry and Symmetry in Physics, 2012. http://dx.doi.org/10.7546/jgsp-11-2008-41-48.

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Song, Sanga, and Hyunjoo Im. Consumers' Negative Electronic Word of Mouth: Non-complainers, Bad-mouthers, Dissatisfied complainers, and Satisfied complainers. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-390.

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Windmeijer, Frank, Silvana Tenreyro, and Joao Santos Silva Santos Silva. Is it different for zeros? Discriminating between models for non-negative data with many zeros. Institute for Fiscal Studies, July 2010. http://dx.doi.org/10.1920/wp.cem.2010.2010.

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Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.

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Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasis (Morawski et al., 2015). Perineuronal nets are dynamic structures that are influenced by external and internal environmental shifts – for example, increasing in intensity and number in response to stressors (Blanco and Conant, 2021) and pharmacological agents (Riga et al., 2017). This review’s objective is to generate a compilation of existing knowledge regarding the structural changes of perineuronal nets in experimental studies that manipulate affective state, including those that alter environmental stressors. The outcomes will inform future research directions by elucidating non-cellular central nervous system mechanisms that underpin positive and negative emotional states. These methods may also be targets for manipulation to manage conditions of depression or promote wellbeing. Population: human and animal Condition: affective state as determined through validated behavioural assessment methods or established biomarkers. This includes both positive and negative affective states. Context: PNN structure, measuringPNNs.
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Busso, Matías, Juanita Camacho, Julián Messina, and Guadalupe Montenegro. Social Protection and Informality in Latin America during the COVID-19 Pandemic. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002865.

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Latin American governments swiftly implemented income assistance programs to sustain families' livelihoods during COVID-19 stay-at-home orders. This paper analyzes the potential coverage and generosity of these measures and assesses the suitability of current safety nets to deal with unexpected negative income shocks in 10 Latin American countries. The expansion of pre-existing programs (most notably conditional cash transfers and non-contributory pensions) during the COVID-19 crisis was generally insufficient to compensate for the inability to work among the poorest segments of the population. When COVID-19 ad hoc programs are analyzed, the coverage and replacement rates of regular labor income among households in the first quintile of the country's labor income distribution increase substantially. Yet, these programs present substantial coverage challenges among families composed of fundamentally informal workers who are non-poor, but are at a high risk of poverty. These results highlight the limitations of the fragmented nature of social protection systems in the region.
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10

Kapelyushnyi, Anatolyi. TRANSFORMATION OF FORMS OF DEGREES OF COMPARISON OF ADJECTIVES IN LIVE TELEVISION BROADCASTING. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11105.

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Abstract:
The article analyzes transformation of forms of degrees of comparison of adjectives in live television broadcasting. Particular attention is paid to the specific properties of different forms of degrees of comparison of adjectives. To analyze the peculiarities of their use for errors in speech of television journalists, associated with non-compliance with linguistic norms on ways to avoid these errors, to make appropriate recommendations to television journalists. The main method we use is to observe the speech of live TV journalist, we used during the study methods of comparative analysis of comparison of theoretical positions from the work of individual linguists and journalism sat down as well as texts that sounded in the speech of journalists. Our objective is to trace these transformations and develop a certain attitude towards them in our researches of the language of the media and practicing journalists to support positive trends in the development of the broadcasting on TV and give recommendations for overcoming certain negative trends. Improving the live broadcasting of television journalists, in particular the work on deepening the language skills will contribute to the modernization of some trends in the reasonable expediency of the transformation of certain phenomena, moder­nization of some tendencies concerning the reasonable expedient transformation of separate grammatical phenomena and categories and at braking and in general stopping of processes of transformation of negative unreasonable not expedient. This fully applies primarily to attempts to transform the forms of degrees of comparison of adjectives and this explains importance of the results achieved in these study.
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