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» Approximate algorithms for neural-Bayesian approaches
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ICCS
2007
Springer
15 years 4 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva
WINE
2007
Springer
166views Economy» more  WINE 2007»
15 years 4 months ago
Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games
We present a computational approach to the saddle-point formulation for the Nash equilibria of two-person, zero-sum sequential games of imperfect information. The algorithm is a ï¬...
Andrew Gilpin, Samid Hoda, Javier Peña, Tuo...
ICCV
2009
IEEE
16 years 2 months ago
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
IPPS
2003
IEEE
15 years 3 months ago
UMR: A Multi-Round Algorithm for Scheduling Divisible Workloads
In this paper we present an algorithm for scheduling parallel applications that consist of a divisible workload. Our algorithm uses multiple rounds to overlap communication and co...
Yang Yang, Henri Casanova
SOFSEM
2007
Springer
15 years 4 months ago
Multimedia Retrieval Algorithmics
Abstract. After text retrieval, the next waves in web searching and multimedia retrieval are the search for and delivery of images, music, video, and 3D scenes. Not only the percep...
Remco C. Veltkamp