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CVPR
2007
IEEE
15 years 11 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
DATE
2007
IEEE
114views Hardware» more  DATE 2007»
15 years 11 months ago
Two-level microprocessor-accelerator partitioning
The integration of microprocessors and field-programmable gate array (FPGA) fabric on a single chip increases both the utility and necessity of tools that automatically move softw...
Scott Sirowy, Yonghui Wu, Stefano Lonardi, Frank V...
ICCV
2007
IEEE
15 years 10 months ago
Learning The Discriminative Power-Invariance Trade-Off
We investigate the problem of learning optimal descriptors for a given classification task. Many hand-crafted descriptors have been proposed in the literature for measuring visua...
Manik Varma, Debajyoti Ray
COREGRID
2007
Springer
15 years 10 months ago
Atomic Commitment in Transactional DHTs
We investigate the problem of atomic commit in transactional database systems built on top of Distributed Hash Tables. Therefore we present a framework for DHTs to provide strong d...
Monika Moser, Seif Haridi
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 10 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen