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» Margin based feature selection - theory and algorithms
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KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 8 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
AUSAI
2011
Springer
12 years 7 months ago
Image Feature Selection Based on Ant Colony Optimization
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
Ling Chen, Bolun Chen, Yixin Chen
GMP
2006
IEEE
117views Solid Modeling» more  GMP 2006»
14 years 1 months ago
Two-Dimensional Selections for Feature-Based Data Exchange
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...
Ari Rappoport, Steven N. Spitz, Michal Etzion
CVPR
2009
IEEE
14 years 2 months ago
Saliency-based discriminant tracking
We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame, discrimination of the target from the background is...
Vijay Mahadevan, Nuno Vasconcelos
CVPR
2012
IEEE
11 years 10 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos