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ICML
2009
IEEE
14 years 8 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
IPPS
2008
IEEE
14 years 1 months ago
High-speed string searching against large dictionaries on the Cell/B.E. Processor
Our digital universe is growing, creating exploding amounts of data which need to be searched, protected and filtered. String searching is at the core of the tools we use to curb...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
CCGRID
2001
IEEE
13 years 11 months ago
OVM: Out-of-Order Execution Parallel Virtual Machine
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...
George Bosilca, Gilles Fedak, Franck Cappello
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 1 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
CASES
2007
ACM
13 years 11 months ago
Application driven embedded system design: a face recognition case study
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
Karthik Ramani, Al Davis