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Using covariates for improving the minimum redundancy maximum relevance feature selection method
Mutual information mRMR unsupervised learning support vector machines SINBAD covariates
2010/11/22
Maximizing the joint dependency with a minimum size of variables is generally the main task of feature selection. For obtaining a minimal subset, while trying to maximize the joint dependency with the...
Highlight Ranking for Broadcast Tennis Video Based on Multi-modality Analysis and Relevance Feedback
Highlight ranking multi-modality analysis relevance feedback sports video analysis
2013/7/17
Most of existing work on sports video analysis concentrates on highlight extraction. Few efforts devoted to the important issue as how to organize the extracted highlights which is adapt for the...
CLUSTERING-BASED SUBSPACE SVM ENSEMBLE FOR RELEVANCE FEEDBACK LEARNING
image retrieval relevance feedback data clustering classifier sampling SVM classifier ensemble
2013/7/17
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
Investigating the Role of Value Creation in Information Systems Relevance
Value Creation Benefits Framework Value Currencies Knowledge Research
2014/3/11
The purpose of this paper is to provide an explanation towards achievement of relevance in the field of Information Systems (IS) by pointing out the critical role of value creation amongst the various...