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CVPR
2010
IEEE
15 years 4 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
ICPR
2006
IEEE
15 years 5 months ago
Unsupervised Discriminant Projection Analysis for Feature Extraction
This paper develops an unsupervised discriminant projection (UDP) technique for feature extraction. UDP takes the local and non-local information into account, seeking to find a p...
Jian Yang, David Zhang, Zhong Jin, Jing-Yu Yang
PAMI
2008
162views more  PAMI 2008»
14 years 11 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
DMIN
2006
164views Data Mining» more  DMIN 2006»
15 years 1 months ago
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination
Digital music distribution industry has seen a tremendous growth in resent years. Tasks such us automatic music genre discrimination address new and exciting research challenges. A...
Xin Jin, Rongfang Bie
ACCV
2007
Springer
15 years 5 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...