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» Accelerated Convergence Using Dynamic Mean Shift
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ICASSP
2009
IEEE
14 years 2 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
ECAI
2010
Springer
13 years 8 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
IPPS
2006
IEEE
14 years 1 months ago
Parallelization and performance characterization of protein 3D structure prediction of Rosetta
The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...
DAC
2005
ACM
13 years 9 months ago
Dynamic reconfiguration with binary translation: breaking the ILP barrier with software compatibility
In this paper we present the impact of dynamically translating any sequence of instructions into combinational logic. The proposed approach combines a reconfigurable architecture ...
Antonio Carlos Schneider Beck, Luigi Carro
PC
2007
343views Management» more  PC 2007»
13 years 7 months ago
Runtime scheduling of dynamic parallelism on accelerator-based multi-core systems
We explore runtime mechanisms and policies for scheduling dynamic multi-grain parallelism on heterogeneous multi-core processors. Heterogeneous multi-core processors integrate con...
Filip Blagojevic, Dimitrios S. Nikolopoulos, Alexa...