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» Nonideal Sampling and Regularization Theory
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TKDE
2008
121views more  TKDE 2008»
13 years 9 months ago
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Shuiwang Ji, Jieping Ye
ICONIP
2008
13 years 11 months ago
Experimental Study of Ergodic Learning Curve in Hidden Markov Models
A number of learning machines used in information science are not regular, but rather singular, because they are non-identifiable and their Fisher information matrices are singula...
Masashi Matsumoto, Sumio Watanabe
CVPR
2008
IEEE
13 years 10 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
Duc-Son Pham, Svetha Venkatesh
EUROCOLT
1999
Springer
14 years 2 months ago
Regularized Principal Manifolds
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
ACMSE
2010
ACM
13 years 4 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins