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» Computationally Efficient Neural Field Dynamics
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CVPR
2006
IEEE
14 years 9 months ago
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, ...
ENGL
2007
141views more  ENGL 2007»
13 years 7 months ago
A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
Sukumar Kamalasadan
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ANOR
2010
139views more  ANOR 2010»
13 years 5 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan
WOB
2004
120views Bioinformatics» more  WOB 2004»
13 years 8 months ago
Reconfigurable Systems for Sequence Alignment and for General Dynamic Programming
ABSTRACT. Reconfigurable systolic arrays can be adapted to efficiently resolve a wide spectrum of computational problems; parallelism is naturally explored in systolic arrays and r...
Ricardo P. Jacobi, Mauricio Ayala-Rincón, L...