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JMLR
2010
108views more  JMLR 2010»
13 years 1 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 6 months ago
Streaming feature selection using alpha-investing
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
ICDAR
2009
IEEE
13 years 4 months ago
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less ...
Joachim Schenk, Moritz Kaiser, Gerhard Rigoll
CVPR
2007
IEEE
14 years 17 days ago
Target Tracking with Online Feature Selection in FLIR Imagery
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
Vijay Venkataraman, Guoliang Fan, Xin Fan
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
14 years 8 days ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu