face recognition by support vector machines

... criterion.Keywords: Face recognition, support vector machines, optimal separating hyperplane, binary tree, eigenface, prin-cipal component analysis.1 Introduction Face recognition technology ... a vector ofweights, which is the projection of the face image to the ba-sis in the eigenface space. Usually the nearest distance cri-terion is used for face recognition. Support Vector Machines ... Face Recognition by Support Vector Machines Guodong Guo, Stan Z. Li, and Kapluk ChanSchool of Electrical and Electronic...

a tutorial on support vector machines for pattern recognition

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e. osuna, r. freund, and f. girosi, training support vector machines- an application to face detection

... 1043004005006007008009001000Number of SamplesNumber of Support Vectors300 400 500 600 700 800 900 100000.511.522.533.544.55Number of Support VectorsTime (hours)0 0.5 1 1.5 2 2.5 3 3.5 4...

Kỹ thuật Support Vector Machines và ứng dụng

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Tài liệu Báo cáo khoa học: "Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data" ppt

... Sessions, pages 57–60,Prague, June 2007.c2007 Association for Computational Linguistics Support Vector Machines for Query-focused Summarization trained andevaluated on Pyramid dataMaria FuentesTALP ... CenterUniversitat Polit`ecnica de Catalunyahoracio@lsi.upc.eduAbstractThis paper presents the use of Support Vector Machines (SVM) to detect rele-vant information to be included in a query-focused summary. ... severalmodels trained from the information in the DUC-2006 manual pyramid annotations using Support Vector Machines (SVM). The evaluation, performedon the DUC-2005 data, has allowed us to discoverthe...

Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf

... information. The resulting vocabu-lary consisted of 276 words and 56 POS tags.4.3 Support Vector Machines Support vector machines (SVMs) are a machinelearning technique used in a variety of text classi-ﬁcation ... have shown the bene-ﬁt of using statistical language models.In this paper, we also use support vector machines to combine features from tradi-tional reading level measures, statisticallanguage ... still needed. Inthis work, we develop a method of reading level as-sessment that uses support vector machines (SVMs)to combine features from statistical language mod-els (LMs), parse trees,...

Gene Selection for Cancer Classification using Support Vector Machines pot

... becomputed for support vectors only, which makes it affordable for small numbersof support vectors. Additionally, parts of the calculation such as the dot productsxh.xk between support vectors ... This is not the case for support vectors which show a mix of all possibilities. This particular gene subset selected by SVMRFE corresponds to the smallest number of support vectors (seven). Coincidentally, ... instructive to examine the support vectors to understand the mechanism ofgene selection used by SVM RFE. The α’s do not vary a lot until the last fewiterations. The number of support vectors goes through...

Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx

... 1998), we focus on active learning with Sup-port Vector Machines (SVMs) because of their per-formance.The Support Vector Machine, which is introduced by Vapnik (1995), is a powerful new statistical ... learningwhere. To train an SVM is to ﬁndtheand the by solving the following optimiza-tion problem:maximizesubject to3 Active Learning for Support Vector Machines 3.1 General Framework of Active LearningWe ... support vector learning for chunk identiﬁcation. In Proceed-ings of the 4th Conference on CoNLL-2000 and LLL-2000, pages 142–144.Taku Kudo and Yuji Matsumoto. 2001. Chunking with support vector...

Báo cáo khoa học: "Joint Training of Dependency Parsing Filters through Latent Support Vector Machines" pptx

... for Computational LinguisticsJoint Training of Dependency Parsing Filters throughLatent Support Vector Machines Colin CherryInstitute for Information TechnologyNational Research Council Canadacolin.cherry@nrc-cnrc.gc.caShane ... ·¯Φ(Nonea)ís shown next to its arrow. by higher-scoring subclassifiers (Item 2).3 Accounting for Arc LengthWe can extend our system by expanding our eventset Z. By adding an arc-level event Vineato ... highprecision by increasing the cost of misclassifying anarc that should not be filtered (C1 Co).Joint training also implicitly affects the relativecosts of subclassifier decisions. By minimizing...

Báo cáo khoa học: "Automatic Prediction of Cognate Orthography Using Support Vector Machines" potx

... an algorithm to automatically generate a list of cognates in a target language by means of Support Vector Machines. While Levenshtein distance was used to align the training file, no knowledge ... available, we decided to opt for SVMTool, a generator of sequential taggers based on Support Vector Machines developed by Gimenez and Marquez (2004). In fact, various experiments carried out on similar ... have eventually led to a correct output. Decisions were made by an annotator with a well-grounded knowledge of Support Vector Machines and their behaviour, which turned out to be quite useful...

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