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DICTA
2008
15 years 20 days ago
GPU Accelerated Multimodal Background Subtraction
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorit...
Peter Carr
IEEEICCI
2009
IEEE
15 years 5 months ago
An attribute reduction approach and its accelerated version for hybrid data
In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measu...
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
SBIA
2004
Springer
15 years 4 months ago
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
VLSISP
2010
119views more  VLSISP 2010»
14 years 5 months ago
Hardware Acceleration of HMMER on FPGAs
We propose a new parallelization scheme for the hmmsearch function of the HMMER software, in order to target FPGA technology. hmmsearch is a very compute intensive software for bio...
Steven Derrien, Patrice Quinton
IPCO
2001
184views Optimization» more  IPCO 2001»
15 years 18 days ago
Approximation Algorithms for the Minimum Bends Traveling Salesman Problem
Problem (Extended Abstract) Cliff Stein David P. Wagner Dartmouth College Computer Science Technical Report TR2000-367 May 9, 2000 The problem of traversing a set of points in the...
Clifford Stein, David P. Wagner