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» Probabilistic rough set approximations
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WSC
2004
13 years 9 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
CVPR
2008
IEEE
14 years 9 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 11 months ago
Epsilon-constraint with an efficient cultured differential evolution
In this paper we present the use of a previously developed single-objective optimization approach, together with the -constraint method, to provide an approximation of the Pareto ...
Ricardo Landa Becerra, Carlos A. Coello Coello
FUIN
2008
112views more  FUIN 2008»
13 years 7 months ago
A New Probabilistic Approach for Fractal Based Image Compression
Abstract. Approximation of an image by the attractor evolved through iterations of a set of contractive maps is usually known as fractal image compression. The set of maps is calle...
Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, B...
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson