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» Minimization and Partitioning Method Reducing Input Sets
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 3 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
ICCD
2002
IEEE
97views Hardware» more  ICCD 2002»
15 years 6 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 8 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 5 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 2 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