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» Linear Discriminant Analysis for Signatures
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JMLR
2008
169views more  JMLR 2008»
13 years 11 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 5 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
ICANN
2005
Springer
14 years 4 months ago
Discriminant Parallel Perceptrons
Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient an...
Ana M. González, Iván Cantador, Jos&...
BMCBI
2008
109views more  BMCBI 2008»
13 years 11 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...
CVPR
2010
IEEE
14 years 6 months ago
Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum