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» Supervised feature selection via dependence estimation
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ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
PRL
2006
87views more  PRL 2006»
13 years 7 months ago
Supervised feature-based classification of multi-channel SAR images
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
Dirk Borghys, Yann Yvinec, Christiaan Perneel, Ale...
ITCC
2002
IEEE
14 years 9 days ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...
Ying Zhao, George Karypis
GLOBECOM
2008
IEEE
14 years 1 months ago
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
Robert C. Daniels, Constantine Caramanis, Robert W...
PAMI
2007
102views more  PAMI 2007»
13 years 6 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings