Дисертації з теми "FAME ANALYSIS"
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Sekora, Nicholas Scott Lawrence Katheryn Kay Scott. "Identification of plant-parasitic nematodes using FAME analysis." Auburn, Ala, 2009. http://hdl.handle.net/10415/1806.
Повний текст джерелаFransson, Rasmus. "Determination of FAME in Gasoline : A Fuel Quality Analysis." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-21212.
Повний текст джерелаBensin framställs genom destillation av råolja. Detta görs på ett raffinaderi där ett flertal andra produkter också utvinns. På senare tid har ögonen öppnats för "biobränslen", bland annat biodiesel. Det händer därför att detta också framställs på samma plats som bensinen. Dessa produkter säljs sedan och brukar fraktas i stora tankar till företagen som köpt dem. Ifall tankarna vid transport eller rören bränslet går igenom till tankarna först använts till biodiesel och sedan används till bensin finns det stor risk att en del biodiesel hamnar i bensinen. Detta kan leda till en rad olika problem. Ett exempel är att biodieseln kan sätta igen och förstöra injektorer i bensin- och etanolmotorer. Det kan även påverka testresultat i olika testriggar, vilket är ett av fallen på Volvo. Ifall bränslet inte bibehåller samma kvalitet för varje test det används i leder det till svårigheter vid jämförelser och resultatens riktighet. Det blir därför nödvändigt att kontrollera bensinens innehåll, där inräknat screening av FAME. Detta arbete utfördes med syftet att utveckla en ny eller verifiera en redan beprövad metod för att bestämma koncentrationen FAME i bensin. För att mäta koncentrationen FAME användes en standardmetod till GC-MS, IP 585. Den modifierades något för att passa in i denna applikation då den från början var gjord för kvantifiering i diesel och inte bensin. Slutsatsen drogs att det är möjligt att mäta koncentrationen FAME i bensin med IP 585 använd som den är. Det fanns möjliga alternativ till metoden, dessa bemöts i litteraturstudien.
Ilya, Musabirov. "Deconstructing Fame : An Analysis of eSports Brand Value. The Case of Dota 2." Thesis, Uppsala universitet, Medier och kommunikation, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296411.
Повний текст джерелаMandavha, Uyuenendiwannyi. "Analysis of carbonaceous solid deposits from thermal stressing of FAMEs and FAME/diesel blends at different temperatures in a continuous flow reactor." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/20091.
Повний текст джерелаWestberg, Emilie. "Qualitative and Quantitative Analysis of Biodiesel Deposits Formed on a Hot Metal Surface." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95617.
Повний текст джерелаPisac, Claudia A. "An experimental study of combustion characteristics of fatty acid methyl ester biodiesel." Thesis, University of Hertfordshire, 2014. http://hdl.handle.net/2299/14641.
Повний текст джерелаPacheco, Fábio Luiz Camacho. "Identificação bacteriana por derivação de ácidos graxos extraídos de células íntegras." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/9/9139/tde-28092009-143513/.
Повний текст джерелаClean rooms are largely employed in pharmaceutical companies whose purpose is to produce sterile drugs and devices. We employed Gram staining and gas chromatography of fatty acid methyl esters extracted from whole cells of environmental isolates to characterize and identify bacteria isolated in each of 50 different clean rooms designed for the manufacturing of sterile medicinal products and to provide a fatty acid profile of the most common species of isolated bacteria. Statistical analysis allowed us to corroborate previous studies and confirm that Gram-positive cocci are the most relevant group of microorganisms inside the studied clean rooms. The predominant species is Micrococcus luteus, isolated from Grade B zones and from personnel, followed by Staphylococcus cohnii in Grade C, Bacillus subtilis in Grade A and S. hominis in Grade D. Fatty acid profiles of these bacteria are, to a great extent, consistent with standard libraries. We also attempted to establish a correlation between season and level of contamination, although variance analysis showed that there is no significant difference on the level of contamination throughout seasons. Furthermore, repeated analysis with a gradual increase in cell mass allowed us to conclude that the optimal amount of cell material depends on the species of the bacteria studied. Finally, a comparative study with some bacteria incubated in different temperatures confirmed that fatty acid profile is highly influenced by temperature. Therefore, we believe that this work can contribute to identify and understand the bacterial community of some pharmaceutical clean rooms.
Cornish, Yvonne. "George Robert Fitzgerald (1748?-1786) and the nature of eighteenth-century celebrity culture : an analysis of the language, character and representation of late eighteenth-century celebrity drawn from literary sources." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670130.
Повний текст джерелаBahceci, Humeyra. "Fatty Acid Methyl Ester Analysis Of Bacterial Isolates From Salt Lake, Turkey And Characterization Of Their Extracellular Enzymes." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605483/index.pdf.
Повний текст джерела#945
-amylase and protease. These enzymes were characterized in terms of enzyme activity, stability, optimum temperature and optimum pH. One of the isolates was identified as Bacillus pumilus, and two of them were identified as Bacillus subtilis. Other isolates were determined to be Bacillus licheniformis. All the isolates were determined to produce xylanase. Optimum temperatures and optimum pH values of xylanases were 50-55 °
C and pH 7.0-8.0. Xylanases were quite stable up to pH 8.0 and 70 °
C. Isolates were not significant cellulase producers. Four of the isolates did not produce any cellulase enzyme and the rest produced negligible amounts of cellulase. Therefore, xylanases from the isolates were promising for pulp and paper industry, which requires cellulase free and stable xylanases. All the isolates produced appreciable quantities of &
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-amylases stable at alkaline pH values. Considerable protease productions were achieved by all the isolates. TTG 2 was the best protease producer with 271 U/ml. Optimum temperatures and optimum pH values of proteases were 50-60 °
C and pH 7.0-7.4. Proteases were quite stable up to pH 9.0 and 80 °
C. Proteases from the isolates were promising for detergent and leather industry, in which proteases must be stable at alkaline pH values.
Sinnig, Julia [Verfasser], Christoph [Akademischer Betreuer] Burmann, Christoph [Gutachter] Burmann, and Tilo [Gutachter] Halaszovich. "The Role of Origin of Fame in Influencer Branding : a Comparative Analysis of German and Russian Consumers / Julia Sinnig ; Gutachter: Christoph Burmann, Tilo Halaszovich ; Betreuer: Christoph Burmann." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/118624884X/34.
Повний текст джерелаSinnig, Julia Verfasser], Christoph [Akademischer Betreuer] [Burmann, Christoph [Gutachter] Burmann, and Tilo [Gutachter] Halaszovich. "The Role of Origin of Fame in Influencer Branding : a Comparative Analysis of German and Russian Consumers / Julia Sinnig ; Gutachter: Christoph Burmann, Tilo Halaszovich ; Betreuer: Christoph Burmann." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/118624884X/34.
Повний текст джерелаShaffer, Anne, Monica Whitehead, Molly Davis, Diana Morelen, and Cynthia Suveg. "A Model‐Based Cluster Analysis of Maternal Emotion Regulation and Relations to Parenting Behavior." Digital Commons @ East Tennessee State University, 2018. https://doi.org/10.1111/famp.12326.
Повний текст джерелаBordei, Cristina. "Face analysis using polynomials." Thesis, Poitiers, 2016. http://www.theses.fr/2016POIT2259/document.
Повний текст джерелаAs one of the most active and visible research topic in computer vision, pattern recognition and biometries, facial analysis has been extensively studied in the past two decades. The work in this thesis presents novel techniques to use polynomial basis texture representations for facial analysis. The first part of this thesis, is dedicated to the integration of polynomial bases in the Active Appearance Models - a set of statistical tools that proved to be very efficient in modeling faces. First we propose a way to use the coefficients obtained after polynomial projections in the appearance modeling. Then, in order to reduce model complexity we proposed to select and use as a texture representation the strongest polynomial coefficients. Finally we show how in addition to the texture representation polynomial coefficients can be used in a gradient descent algorithm since polynomial decomposition is equivalent to a filter bank.The second part of the thesis concems the use of the polynomial bases for interesting points and areas detection and as a descriptor for facial expression recognition. We start by presenting an algorithm used for accurate image keypoints localization inspired by techniques of singularities detection in a vector field. Our approach consists in two major steps: the calculation of an image vector field of normals and the keypoint selection within the field both presented in a multi-scale multi resolution scheme. Finally we show how polynomial bases can be used to extract informations about facial expressions. Polynomial coefficients are used as descriptors in an facial expression classification algorithm
Al-Dahoud, Ahmad. "The computational face for facial emotion analysis: Computer based emotion analysis from the face." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17384.
Повний текст джерелаAl-Zaytoonah University
Buchala, Samarasena. "Computational analysis of face images." Thesis, University of Hertfordshire, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431938.
Повний текст джерелаAmin, Syed Hassan. "Analysis of 3D face reconstruction." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/6163.
Повний текст джерелаWang, Wei. "Human Face and Behavior Analysis." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/367945.
Повний текст джерелаWang, Wei. "Human Face and Behavior Analysis." Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/2925/1/phd_thesis.pdf.
Повний текст джерелаPatrick, William Charles. "Investigation, Analysis, and Modeling of Longwall Face-to-Face Transfers." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06092008-112841/.
Повний текст джерелаVita. Abstract. Attached pocket for diagrams. Includes bibliographical references (leaves 155-162). Also available via the Internet.
Mahmood, Muhammad Tariq. "Face Detection by Image Discriminating." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4352.
Повний текст джерелаSIPL, Mechatronics, GIST 1 Oryong-Dong, Buk-Gu, Gwangju, 500-712 South Korea tel. 0082-62-970-2997
Wei, Xiaozhou. "3D facial expression modeling and analysis with topographic information." Diss., Online access via UMI:, 2008.
Знайти повний текст джерелаLiu, Feng. "Face Gear Design and Compliance Analysis." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1392373365.
Повний текст джерелаAlfonso, Miñambres Javier de. "Face recognition using principal component analysis." Master's thesis, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/10221.
Повний текст джерелаThe purpose of this dissertation was to analyze the image processing method known as Principal Component Analysis (PCA) and its performance when applied to face recognition. This algorithm spans a subspace (called facespace) where the faces in a database are represented with a reduced number of features (called feature vectors). The study focused on performing various exhaustive tests to analyze in what conditions it is best to apply PCA. First, a facespace was spanned using the images of all the people in the database. We obtained then a new representation of each image by projecting them onto this facespace. We measured the distance between the projected test image with the other projections and determined that the closest test-train couple (k-Nearest Neighbour) was the recognized subject. This first way of applying PCA was tested with the Leave{One{Out test. This test takes an image in the database for test and the rest to build the facespace, and repeats the process until all the images have been used as test image once, adding up the successful recognitions as a result. The second test was to perform an 8{Fold Cross{Validation, which takes ten images as eligible test images (there are 10 persons in the database with eight images each) and uses the rest to build the facespace. All test images are tested for recognition in this fold, and the next fold is carried out, until all eight folds are complete, showing a different set of results. The other way to use PCA we used was to span what we call Single Person Facespaces (SPFs, a group of subspaces, each spanned with images of a single person) and measure subspace distance using the theory of principal angles. Since the database is small, a way to synthesize images from the existing ones was explored as a way to overcoming low successful recognition rates. All of these tests were performed for a series of thresholds (a variable which selected the number of feature vectors the facespaces were built with, i.e. the facespaces' dimension), and for the database after being preprocessed in two different ways in order to reduce statistically redundant information. The results obtained throughout the tests were within what expected from what can be read in literature: success rates of around 85% in some cases. Special mention needs to be made on the great result improvement between SPFs before and after extending the database with synthetic images. The results revealed that using PCA to project the images in the group facespace is very accurate for face recognition, even when having a small number of samples per subject. Comparing personal facespaces is more effective when we can synthesize images or have a natural way of acquiring new images of the subject, like for example using video footage. The tests and results were obtained with a custom software with user interface, designed and programmed by the author of this dissertation.
O propósito desta Dissertação foi a aplicação da Analise em Componentes Principais (PCA, de acordo com as siglas em inglês), em sistemas para reconhecimento de faces. Esta técnica permite calcular um subespaço (chamado facespace, onde as imagens de uma base de dados são representadas por um número reduzido de características (chamadas feature vectors). O estudo realizado centrou-se em vários testes para analisar quais são as condições óptimas para aplicar o PCA. Para começar, gerou-se um faces- pace utilizando todas as imagens da base de dados. Obtivemos uma nova representação de cada imagem, após a projecção neste espaço, e foram medidas as distâncias entre as projecções da imagem de teste e as de treino. A dupla de imagens de teste-treino mais próximas determina o sujeito reconhecido (classificador vizinhos mais próximos). Esta primeira forma de aplicar o PCA, e o respectivo classificador, foi avaliada com as estratégias Leave{One{Out e 8{Fold Cross{Validation. A outra forma de utilizar o PCA foi gerando subespaços individuais (designada por SPF, Single Person Facespace), onde cada subespaço era gerado com imagens de apenas uma pessoa, para a seguir medir a distância entre estes espaços utilizando o conceito de ângulos principais. Como a base de dados era pequena, foi explorada uma forma de sintetizar novas imagens a partir das já existentes. Todos estes teste foram feitos para uma série de limiares (uma variável threshold que determinam o número de feature vectors com os que o faces- pace é construído) e diferentes formas de pre-processamento. Os resultados obtidos estavam dentro do esperado: taxas de acerto aproximadamente iguais a 85% em alguns casos. Pode destacar-se uma grande melhoria na taxa de reconhecimento após a inclusão de imagens sintéticas na base de dados. Os resultados revelaram que o uso do PCA para projectar imagens no subespaço da base de dados _e viável em sistemas de reconhecimento de faces, principalmente se comparar subespaço individuais no caso de base de dados com poucos exemplares em que _e possível sintetizar imagens ou em sistemas com captura de vídeo.
Hu, Guosheng. "Face analysis using 3D morphable models." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/808011/.
Повний текст джерелаHuang, Jian. "Discriminant analysis algorithms for face recognition." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/655.
Повний текст джерелаZhao, Shuyan. "Face analysis under near infrared illumination." Göttingen Cuvillier, 2008. http://d-nb.info/990811492/04.
Повний текст джерелаRana, Santu. "Multilinear analysis of face image ensembles." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/1662.
Повний текст джерелаWang, Jing. "Reconstruction and Analysis of 3D Individualized Facial Expressions." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32588.
Повний текст джерелаPillet-Shore, Danielle Marguerite. "Coming together creating and maintaining social relationships through the openings of face-to-face interactions /." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619144141&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерелаOlausson, Erik. "Face Recognition for Mobile Phone Applications." Thesis, Linköping University, Department of Science and Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11850.
Повний текст джерелаAtt applicera ansiktsigenkänning direkt på en mobiltelefon är en utmanande uppgift, inte minst med tanke på den begränsade minnes- och processorkapaciteten samt den stora variationen med avseende på ansiktsuttryck, hållning och ljusförhållande i inmatade bilder.
Det är fortfarande långt kvar till ett färdigutvecklat, robust och helautomatiskt ansiktsigenkänningssystem för den här miljön. Men resultaten i det här arbetet visar att genom att plocka ut feature-värden från lokala regioner samt applicera en välgjord warpstrategi för att minska problemen med variationer i position och rotation av huvudet, är det möjligt att uppnå rimliga och användbara igenkänningsnivåer. Speciellt för ett halvautomatiskt system där användaren har sista ordet om vem personen på bilden faktiskt är.
Med ett galleri bestående av 85 personer och endast en referensbild per person nådde systemet en igenkänningsgrad på 60% på en svårklassificerad serie testbilder. Totalt 73% av gångerna var den rätta individen inom de fyra främsta gissningarna.
Att lägga till extra referensbilder till galleriet höjer igenkänningsgraden rejält, till nästan 75% för helt korrekta gissningar och till 83,5% för topp fyra. Detta visar att en strategi där inmatade bilder läggs till som referensbilder i galleriet efterhand som de identifieras skulle löna sig ordentligt och göra systemet bättre efter hand likt en inlärningsprocess.
Detta exjobb belönades med pris för "Bästa industrirelevanta bidrag" vid Svenska sällskapet för automatiserad bildanalys årliga konferens i Lund, 13-14 mars 2008.
Applying face recognition directly on a mobile phone is a challenging proposal due to the unrestrained nature of input images and limitations in memory and processor capabilities.
A robust, fully automatic recognition system for this environment is still a far way off. However, results show that using local feature extraction and a warping scheme to reduce pose variation problems, it is possible to capitalize on high error tolerance and reach reasonable recognition rates, especially for a semi-automatic classification system where the user has the final say.
With a gallery of 85 individuals and only one gallery image per individual available the system is able to recognize close to 60 % of the faces in a very challenging test set, while the correct individual is in the top four guesses 73% of the time.
Adding extra reference images boosts performance to nearly 75% correct recognition and 83.5% in the top four guesses. This suggests a strategy where extra reference images are added one by one after correct classification, mimicking an online learning strategy.
Bartlett, Marian Stewart. "Face image analysis by unsupervised learning and redundancy reduction /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9907603.
Повний текст джерелаLee, Colin K. "Infrared face recognition." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FLee%5FColin.pdf.
Повний текст джерелаThesis advisor(s): Monique P. Fargues, Gamani Karunasiri. Includes bibliographical references (p. 135-136). Also available online.
Boulkenafet, Z. (Zinelabidine). "Face presentation attack detection using texture analysis." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526219257.
Повний текст джерелаTiivistelmä Kasvontunnistusjärjestelmien suorituskyky on parantunut huomattavasti viime vuosina. Tästä syystä tätä teknologiaa pidetään nykyisin riittävän kypsänä ja käytetään jo useissa käytännön sovelluksissa kuten rajatarkastuksissa, rahansiirroissa ja tietoturvasovelluksissa. Monissa tutkimuksissa on kuitenkin havaittu, että nämä järjestelmät ovat myös haavoittuvia huijausyrityksille, joissa joku yrittää esiintyä jonakin toisena henkilönä esittämällä kameralle jäljennöksen kohdehenkilön kasvoista. Tämä haavoittuvuus rajoittaa kasvontunnistuksen laajempaa käyttöä monissa sovelluksissa. Tunnistusjärjestelmien turvaamiseksi on kehitetty lukuisia menetelmiä tällaisten hyökkäysten torjumiseksi. Nämä menetelmät ovat toimineet hyvin tätä tarkoitusta varten kehitetyillä kasvotietokannoilla, mutta niiden suorituskyky huononee dramaattisesti todellisissa käytännön olosuhteissa, esim. valaistuksen ja käytetyn kuvantamistekniikan variaatioista johtuen. Tässä työssä yritämme parantaa kasvontunnistuksen huijauksen estomenetelmien yleistämiskykyä keskittyen erityisesti tekstuuripohjaisiin menetelmiin. Toisin kuin useimmat olemassa olevat tekstuuripohjaiset menetelmät, joissa tekstuuripiirteitä irrotetaan harmaasävykuvista, ehdotamme väritekstuurianalyysiin pohjautuvaa ratkaisua. Ensin kasvokuvat muutetaan erilaisiin väriavaruuksiin. Sen jälkeen kuvan jokaiselta kanavalta erikseen lasketut piirrehistogrammit yhdistetään ja käytetään erottamaan aidot ja väärät kasvokuvat toisistaan. Kolmeen eri väriavaruuteen, RGB, HSV ja YCbCr, perustuvat testimme osoittavat, että tekstuuri-informaation irrottaminen HSV- ja YCbCr-väriavaruuksien erillisistä luminanssi- ja krominanssikuvista parantaa suorituskykyä kuvien harmaasävy- ja RGB-esitystapoihin verrattuna. Valaistuksen ja kuvaresoluution variaation takia ehdotamme myös tämän tekstuuri-informaation irrottamista eri tavoin skaalatuista kuvista. Sen lisäksi, että itse kasvot esitetään eri skaaloissa, useaan skaalaan perustuvat suodatusmenetelmät toimivat myös esikäsittelynä sellaisia suorituskykyä heikentäviä tekijöitä vastaan kuten kohina ja valaistus. Vaikka tässä tutkimuksessa saavutetut tulokset ovat parempia kuin uusinta tekniikkaa edustavat tulokset, ne ovat kuitenkin vielä riittämättömiä reaalimaailman sovelluksissa tarvittavaan suorituskykyyn. Sen takia edistääksemme uusien robustien kasvontunnistuksen huijaamisen ilmaisumenetelmien kehittämistä kokosimme uuden, haasteellisen huijauksenestotietokannan käyttäen kuutta kameraa kolmessa erilaisessa valaistus- ja ympäristöolosuhteessa. Järjestimme keräämällämme tietokannalla myös kansainvälisen kilpailun, jossa arvioitiin ja verrattiin neljäätoista kasvontunnistuksen huijaamisen ilmaisumenetelmää
Wileman, James Michael. "Dynamic analysis of eccentric mechanical face seals." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/17343.
Повний текст джерелаRiaz, Muhammed Shahjahan. "Analysis of discriminant features for face recognition." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325242.
Повний текст джерелаChinthapalli, Vamsi Krishna. "Face shape analysis in people with epilepsy." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10043826/.
Повний текст джерелаPatel, Vatsa Sanjay. "Masked Face Analysis via Multitask Deep Learning." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619637677725646.
Повний текст джерелаParas, Carrie. "An analysis of the multiple face phenomenon /." abstract and full text PDF (UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446791.
Повний текст джерела"May, 2007." Includes bibliographical references (leaves 29-33). Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2008]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.
Duffner, Stefan. "Face image analysis with convolutional neural networks." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:25-opus-48350.
Повний текст джерелаClement, Stephen J. "Sparse shape modelling for 3D face analysis." Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/8248/.
Повний текст джерелаMarra, Anton. "Disagreement in business negotiations : A qualitative study of BELF usage in face-to-face business negotiations." Thesis, Stockholms universitet, Engelska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-133218.
Повний текст джерелаGul, Ahmet Bahtiyar. "Holistic Face Recognition By Dimension Reduction." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1056738/index.pdf.
Повний текст джерелаhowever, even Subspace LDA and Bayesian PCA do not perform well under changes in illumination and aging although they perform better than PCA.
Cheng, Xin. "Nonrigid face alignment for unknown subject in video." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/65338/1/Xin_Cheng_Thesis.pdf.
Повний текст джерелаJoslin, Kelly L. "Art Appreciation in Face-to-Face and Online Settings: An Analysis of Course Effectiveness." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478709584805326.
Повний текст джерелаWei, Jianye. "Analysis and Characterisation of Interactions in Face-to-Face and Remote-Access Chemistry Laboratories." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/79305.
Повний текст джерелаPlotnikov, Valeri. "An Analysis of Fare Collection Costs on Heavy Rail and Bus Systems in the U.S." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29052.
Повний текст джерелаPh. D.
Martínez, Brito Izacar Jesús. "Quantitative structure fate relationships for multimedia environmental analysis." Doctoral thesis, Universitat Rovira i Virgili, 2010. http://hdl.handle.net/10803/8590.
Повний текст джерелаLas propiedades fisicoquímicas de un gran espectro de contaminantes químicos son desconocidas. Esta tesis analiza la posibilidad de evaluar la distribución ambiental de compuestos utilizando algoritmos de aprendizaje supervisados alimentados con descriptores moleculares, en vez de modelos ambientales multimedia alimentados con propiedades estimadas por QSARs. Se han comparado fracciones másicas adimensionales, en unidades logarítmicas, de 468 compuestos entre: a) SimpleBox 3, un modelo de nivel III, propagando valores aleatorios de propiedades dentro de distribuciones estadísticas de QSARs recomendados; y, b) regresiones de vectores soporte (SVRs) actuando como relaciones cuantitativas de estructura y destino (QSFRs), relacionando fracciones másicas con pesos moleculares y cuentas de constituyentes (átomos, enlaces, grupos funcionales y anillos) para compuestos de entrenamiento. Las mejores predicciones resultaron para compuestos de test y validación correctamente localizados dentro del dominio de aplicabilidad de los QSFRs, evidenciado por valores bajos de MAE y valores altos de q2 (en aire, MAE≤0.54 y q2≥0.92; en agua, MAE≤0.27 y q2≥0.92).
Chen, Shaokang. "Robust discriminative principal component analysis for face recognition /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18934.pdf.
Повний текст джерелаMartinkauppi, B. (Birgitta). "Face colour under varying illumination - analysis and applications." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:9514267885.
Повний текст джерелаSong, Qing. "Features and statistical classifiers for face image analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0035/NQ62459.pdf.
Повний текст джерела