388 search results - page 31 / 78 » Unsupervised Discriminant Projection Analysis for Feature Ex... |
191
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
118
Voted
ICIP
2008
IEEE
15 years 9 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
145
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
108
Voted
AUSAI
2005
Springer
15 years 8 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
112
Voted
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...