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» Semi-supervised Discriminant Analysis
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ECCV
2004
Springer
14 years 10 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
ECCV
2008
Springer
14 years 10 months ago
Improving People Search Using Query Expansions
In this paper we are interested in finding images of people on the web, and more specifically within large databases of captioned news images. It has recently been shown that visua...
Thomas Mensink, Jakob J. Verbeek
PR
2008
159views more  PR 2008»
13 years 8 months ago
Feature fusion of side face and gait for video-based human identification
Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, i...
Xiaoli Zhou, Bir Bhanu
PR
2008
113views more  PR 2008»
13 years 8 months ago
Do unbalanced data have a negative effect on LDA?
For two-class discrimination, Ref. [1] claimed that, when covariance matrices of the two classes were unequal, a (class) unbalanced dataset had a negative effect on the performanc...
Jing-Hao Xue, D. Mike Titterington