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105
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ICCV
2011
IEEE
14 years 15 days ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 18 days ago
Sidelobe Control in Collaborative Beamforming via Node Selection
Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov
104
Voted
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 6 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
119
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Cooperative spectrum sensing based on matrix rank minimization
In cognitive radio (CR) networks, multi-CR cooperation typically takes place during spectrum sensing, to cope with wireless fading effects and the hidden terminal problem. The use...
Yue Wang, Zhi Tian, Chunyan Feng
CVPR
2003
IEEE
16 years 2 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer