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» Learning Process Behavior with EDY: an Experimental Analysis
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CVPR
2000
IEEE
15 years 12 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
JMLR
2006
389views more  JMLR 2006»
14 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
RECOMB
2007
Springer
15 years 10 months ago
Production-Passage-Time Approximation: A New Approximation Method to Accelerate the Simulation Process of Enzymatic Reactions
Abstract. Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This pap...
Hiroyuki Kuwahara, Chris J. Myers
ICASSP
2011
IEEE
14 years 1 months ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero
PAMI
2006
193views more  PAMI 2006»
14 years 9 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...