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» Minimization and Partitioning Method Reducing Input Sets
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166
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 6 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
128
Voted
ICCD
2002
IEEE
97views Hardware» more  ICCD 2002»
15 years 9 months ago
Fault Dictionary Size Reduction through Test Response Superposition
The exceedingly large size of fault dictionaries constitutes a fundamental obstacle to their usage. We outline a new method to reduce significantly the size of fault dictionaries...
Baris Arslan, Alex Orailoglu
TAMC
2009
Springer
15 years 10 months ago
Linear Kernel for Planar Connected Dominating Set
We provide polynomial time data reduction rules for Connected Dominating Set in planar graphs and analyze these to obtain a linear kernel for the planar Connected Dominating Set pr...
Daniel Lokshtanov, Matthias Mnich, Saket Saurabh
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 7 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
ICML
2008
IEEE
16 years 4 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang