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ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
KBS
2008
98views more  KBS 2008»
13 years 8 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
AAAI
2011
12 years 9 months ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
INCDM
2010
Springer
166views Data Mining» more  INCDM 2010»
13 years 7 months ago
Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
In this paper we report on a study on feature selection within the minimum
Benjamin Auffarth, Maite López, Jesú...
ICIP
2009
IEEE
13 years 7 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler