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» Learning Optimal Parameters in Decision-Theoretic Rough Sets
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PAMI
2007
186views more  PAMI 2007»
13 years 8 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
ICCV
2003
IEEE
14 years 10 months ago
Fast Pose Estimation with Parameter-Sensitive Hashing
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
Gregory Shakhnarovich, Paul A. Viola, Trevor Darre...
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 4 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
ESANN
2007
13 years 10 months ago
Ensemble neural classifier design for face recognition
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
Terry Windeatt
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 3 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...