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» Distributed adaptive sampling using bounded-errors
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
13 years 11 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
PCM
2007
Springer
132views Multimedia» more  PCM 2007»
14 years 1 months ago
FADA: An Efficient Dimension Reduction Scheme for Image Classification
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
Yijuan Lu, Jingsheng Ma, Qi Tian
PAMI
2012
11 years 10 months ago
Domain Transfer Multiple Kernel Learning
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Lixin Duan, Ivor W. Tsang, Dong Xu
ICIP
2006
IEEE
14 years 9 months ago
A Boosted Adaptive Particle Filter for Face Detection and Tracking
A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis ...
Wenlong Zheng, Suchendra M. Bhandarkar
ICASSP
2010
IEEE
13 years 6 months ago
A symmetric adaptive algorithm for speeding-up consensus
Performing distributed consensus in a network has been an important research problem for several years, and is directly applicable to sensor networks, autonomous vehicle formation...
Daniel Thai, Elizabeth Bodine-Baron, Babak Hassibi