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» Feature Selection using Multiple Streams
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JMLR
2010
108views more  JMLR 2010»
12 years 11 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...
3DPVT
2006
IEEE
141views Visualization» more  3DPVT 2006»
13 years 10 months ago
Reference Stream Selection for Multiple Depth Stream Encoding
With advances in technology, a dynamic real world scene can be captured, represented, and streamed for realistic interaction in 3D using multiple digital cameras and computers. Ho...
Sang-Uok Kum, Ketan Mayer-Patel
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 5 months ago
Streaming feature selection using alpha-investing
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
13 years 11 months ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
ICASSP
2011
IEEE
12 years 8 months ago
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki