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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
ICPR
2004
IEEE
15 years 12 months ago
2004
IEEE
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
ICPR
2004
IEEE
15 years 12 months ago
2004
IEEE
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
ICPR
2002
IEEE
15 years 12 months ago
2002
IEEE
Multiview studies in Computer Vision have concentrated on the constraints satisfied by individual primitives such as points and lines. Not much attention has been paid to the prop...
ACSD
2006
IEEE
15 years 4 months ago
2006
IEEE
A schedule of a Petri Net (PN) represents a set of firing sequences that can be infinitely repeated within a bounded state space, regardless of the outcomes of the nondeterminis...