156 search results - page 15 / 32 » Generalized Principal Component Analysis (GPCA) |
115
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
119
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DAC
2004
ACM
16 years 1 months ago
2004
ACM
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
98
Voted
CVPR
2004
IEEE
2004
IEEE
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
16 years 2 months ago
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
111
Voted
ICDM
2003
IEEE
15 years 6 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
111
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ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper introduces a framework that employs the Fisher linear discriminant model (FLDM) and classifier (FLDC) on integrated facial appearance and facial expression features. T...