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FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 5 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
AAAI
2006
15 years 3 months ago
Local-Search Techniques for Boolean Combinations of Pseudo-Boolean Constraints
Some search problems are most directly specified by boolean combinations of pseudo-boolean constraints. We study a logic PL(PB) whose formulas are of this form, and design local-s...
Lengning Liu, Miroslaw Truszczynski
NIPS
1994
15 years 3 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 1 months ago
Mining The Successful Binary Combinations: Methodology and A Simple Case Study
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
Yuval Cohen
ML
2000
ACM
144views Machine Learning» more  ML 2000»
15 years 1 months ago
MultiBoosting: A Technique for Combining Boosting and Wagging
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
Geoffrey I. Webb