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» Strong Separation of Learning Classes
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ICPR
2008
IEEE
15 years 9 months ago
Smile, you're on identity camera
Inspired by recent advances in psychological studies on motion-based face perception, we examine in this paper, from the viewpoint of pattern recognition, the identity information...
Ye Ning, Terence Sim
PODS
1990
ACM
148views Database» more  PODS 1990»
15 years 6 months ago
Stable Models and Non-Determinism in Logic Programs with Negation
Previous researchers have proposed generalizations of Horn clause logic to support negation and nondeterminism as two separate extensions. In this paper, we show that the stable m...
Domenico Saccà, Carlo Zaniolo
123
Voted
BMCBI
2006
173views more  BMCBI 2006»
15 years 2 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
124
Voted
ICML
2007
IEEE
16 years 3 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
106
Voted
FOCS
1993
IEEE
15 years 6 months ago
Scale-sensitive Dimensions, Uniform Convergence, and Learnability
Learnability in Valiant’s PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conver...
Noga Alon, Shai Ben-David, Nicolò Cesa-Bian...