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» Classification by Discriminative Regularization
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CVPR
2011
IEEE
14 years 9 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ICML
2003
IEEE
16 years 2 months ago
Weighted Order Statistic Classifiers with Large Rank-Order Margin
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...
Reid B. Porter, Damian Eads, Don R. Hush, James Th...
NIPS
2004
15 years 2 months ago
Kernel Projection Machine: a New Tool for Pattern Recognition
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
Laurent Zwald, Régis Vert, Gilles Blanchard...
WSCG
2004
196views more  WSCG 2004»
15 years 2 months ago
Feature Extraction of Scale Pattern in Animal Textile Fibers
: Animal fibers have variety in their longitudinal sections. The main difference of the longitudinal section of these fibers is the geometry and dimension of scale patterns, which ...
Reza Hasanzadeh Pak Rezaie, Karim Faez, Samira Asl...
CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 1 months ago
Discrete schemes for Gaussian curvature and their convergence
In this paper, several discrete schemes for Gaussian curvature are surveyed. The convergence property of a modified discrete scheme for the Gaussian curvature is proved. Furthermo...
Zhiqiang Xu, Guoliang Xu