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» Evaluating Feature Selection for SVMs in High Dimensions
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ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
14 years 8 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...
84
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SECON
2008
IEEE
15 years 4 months ago
A Multi-AP Architecture for High-Density WLANs: Protocol Design and Experimental Evaluation
—Fast proliferation of IEEE 802.11 wireless devices has led to the emergence of High-Density (HD) Wireless Local Area Networks (WLANs), where it is challenging to improve the thr...
Yanfeng Zhu, Zhisheng Niu, Qian Zhang, Bo Tan, Zhi...
PR
2008
93views more  PR 2008»
14 years 10 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
IUI
2012
ACM
13 years 6 months ago
1F: one accessory feature design for gesture recognizers
One Feature (1F) is a simple and intuitive pruning strategy that reduces considerably the amount of computations required by Nearest-Neighbor gesture classifiers while still pres...
Radu-Daniel Vatavu
BMCBI
2006
126views more  BMCBI 2006»
14 years 10 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng