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» Enhancing Commitment Machines
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AUSAI
2008
Springer
15 years 1 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
BMCBI
2007
119views more  BMCBI 2007»
14 years 11 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
CONCURRENCY
2000
123views more  CONCURRENCY 2000»
14 years 11 months ago
A mobile agent based push methodology for global parallel computing
The 1990s are seeing the explosive growth of the Internet and Web-based information sharing and dissemination systems. The Internet is also showing a potential of forming of a sup...
Cheng-Zhong Xu, Brian Wims
HPDC
2012
IEEE
13 years 2 months ago
VNET/P: bridging the cloud and high performance computing through fast overlay networking
networking with a layer 2 abstraction provides a powerful model for virtualized wide-area distributed computing resources, including for high performance computing (HPC) on collec...
Lei Xia, Zheng Cui, John R. Lange, Yuan Tang, Pete...
CVPR
2008
IEEE
16 years 1 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila