782 search results - page 133 / 157 » Using Component Features for Face Recognition |
119
Voted
ICCV
2007
IEEE
15 years 8 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
122
Voted
CIKM
2001
Springer
15 years 6 months ago
2001
Springer
Many document-based applications, including popular Web browsers, email viewers, and word processors, have a ‘Find on this Page’ feature that allows a user to find every occur...
151
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
130
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IVC
2006
15 years 2 months ago
2006
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
161
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...