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» Approximating Component Selection
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SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
15 years 7 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
NIPS
2007
14 years 11 months ago
Selecting Observations against Adversarial Objectives
In many applications, one has to actively select among a set of expensive observations before making an informed decision. Often, we want to select observations which perform well...
Andreas Krause, H. Brendan McMahan, Carlos Guestri...
TWC
2008
117views more  TWC 2008»
14 years 9 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
CVPR
2012
IEEE
13 years 9 days ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
GIS
1999
ACM
15 years 2 months ago
A Provably Efficient Computational Model for Approximate Spatiotemporal Retrieval
: The paper is concerned with the effective and efficient processing of spatiotemporal selection queries under varying degrees of approximation. Such queries may employ operators l...
Vasilis Delis, Christos Makris, Spyros Sioutas