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104
Voted
CVPR
2005
IEEE
16 years 2 months ago
Creating Invariance to "Nuisance Parameters" in Face Recognition
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identit...
Simon J. D. Prince, James H. Elder
109
Voted
CVPR
2006
IEEE
16 years 2 months ago
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
Several kernel algorithms have recently been proposed for nonlinear discriminant analysis. However, these methods mainly address the singularity problem in the high dimensional fe...
Tao Xiong, Jieping Ye, Vladimir Cherkassky
93
Voted
CVPR
2008
IEEE
16 years 2 months ago
Classification using intersection kernel support vector machines is efficient
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
Subhransu Maji, Alexander C. Berg, Jitendra Malik
95
Voted
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 7 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...