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ICIP
2007
IEEE
16 years 8 months ago
Statistically Driven Sparse Image Approximation
Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NPhard problem. In the case of a dictionary whose elements form ...
Rosa M. Figueras i Ventura, Eero P. Simoncelli
167
Voted
ICML
2008
IEEE
16 years 7 months ago
A worst-case comparison between temporal difference and residual gradient with linear function approximation
Residual gradient (RG) was proposed as an alternative to TD(0) for policy evaluation when function approximation is used, but there exists little formal analysis comparing them ex...
Lihong Li
LICS
2009
IEEE
16 years 1 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell
136
Voted
ICCBR
2009
Springer
16 years 1 months ago
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...
Hua Li, Héctor Muñoz-Avila, Diane Br...
ANSS
2005
IEEE
16 years 11 days ago
Approximation Techniques for the Analysis of Large Traffic-Groomed Tandem Optical Networks
We consider a traffic-groomed optical network consisting of N nodes arranged in tandem. This optical network is modeled by a tandem queueing network of multi-rate loss queues with...
Alicia Nicki Washington, Chih-Chieh Hsu, Harry G. ...