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ENTCS
2007
141views more  ENTCS 2007»
15 years 2 months ago
Compressing BMC Encodings with QBF
Symbolic model checking is PSPACE complete. Since QBF is the standard PSPACE complete problem, it is most natural to encode symbolic model checking problems as QBF formulas and th...
Toni Jussila, Armin Biere
142
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KBS
2008
98views more  KBS 2008»
15 years 1 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 23 days ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
15 years 18 days ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
ICASSP
2011
IEEE
14 years 6 months ago
Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
Ming Li, Shrikanth Narayanan