منابع مشابه
Face Recognition using Eigenfaces , PCA and Supprot Vector Machines
This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...
متن کاملface recognition using eigenfaces , pca and supprot vector machines
this paper is based on a combination of the principal component analysis (pca), eigenface and support vector machines. using n-fold method and with respect to the value of n, any person’s face images are divided into two sections. as a result, vectors of training features and test features are obtain ed. classification precision and accuracy was examined with three different types of kernel and...
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We derive a new representation for a function as a linear combination of local correlation kernels at optimal sparse locations and discuss its relation to PCA, regularization, sparsity principles and Support Vector Machines. We also discuss its Bayesian interpretation and justiication. We rst review previous results for the approximation of a function from discrete data (Girosi, 1998) in the co...
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Web page classification provides an efficient information search to internet users. However, presently most of the web directories are still being classified manually or semiautomatically. This paper analyses the concept of the statistical analysis methods known as Principal Component Analysis (PCA) and Independent Component Analysis (ICA). The main purpose for using integration of PCA and ICA ...
متن کاملEEG signal classification using PCA, ICA, LDA and support vector machines
0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.06.065 * Corresponding author. Address: International B Engineering and Information Technologies, Francuske evo, 71210, Bosnia and Herzegovina. Tel.: +387 33 78 E-mail address: [email protected] (A. Subasi). In this work, we proposed a versatile signal processing and analysis framework for Electroencephalogram (EEG). Wit...
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ژورنال
عنوان ژورنال: Canadian Journal of Anaesthesia
سال: 1998
ISSN: 0832-610X,1496-8975
DOI: 10.1007/bf03012926