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» Computing Models for FPGA-Based Accelerators
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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 2 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
CSE
2008
IEEE
13 years 10 months ago
Computing Models for FPGA-Based Accelerators
Martin C. Herbordt, Yongfeng Gu, Tom Van Court, Jo...
IJON
2002
65views more  IJON 2002»
13 years 9 months ago
A general framework for neurobiological modeling: an application to the vestibular system
The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravi...
Chris Eliasmith, M. Brandon Westover, Charles H. A...
ATVA
2005
Springer
108views Hardware» more  ATVA 2005»
14 years 3 months ago
Flat Acceleration in Symbolic Model Checking
Abstract. Symbolic model checking provides partially effective verification procedures that can handle systems with an infinite state space. So-called “acceleration techniques...
Sébastien Bardin, Alain Finkel, Jér&...
CVPR
2012
IEEE
12 years 6 days ago
Real time robust L1 tracker using accelerated proximal gradient approach
Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which leads to the so-called ...
Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji