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» Feature Selection from Huge Feature Sets
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SI3D
2006
ACM
16 years 8 days ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 6 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
IACR
2011
84views more  IACR 2011»
14 years 6 months ago
Tools for Simulating Features of Composite Order Bilinear Groups in the Prime Order Setting
In this paper, we explore a general methodology for converting composite order pairingbased cryptosystems into the prime order setting. We employ the dual pairing vector space app...
Allison B. Lewko
ICTAC
2004
Springer
15 years 11 months ago
Minimal Spanning Set for Coverage Testing of Interactive Systems
A model-based approach for minimization of test sets for interactive systems is introduced. Test cases are efficiently generated and selected to cover the behavioral model and the ...
Fevzi Belli, Christof J. Budnik
ICML
2004
IEEE
15 years 11 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim