197 search results - page 7 / 40 » Complexity of Max-SAT using stochastic algorithms |
205
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ECCV
2002
Springer
16 years 7 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
173
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ICIP
2007
IEEE
16 years 7 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
157
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ANSS
2006
IEEE
15 years 12 months ago
2006
IEEE
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
153
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ISLPED
2004
ACM
15 years 11 months ago
2004
ACM
Increasing demand for larger high-performance applications requires developing more complex systems with hundreds of processing cores on a single chip. To allow dynamic voltage sc...
150
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ISCAS
2005
IEEE
15 years 11 months ago
2005
IEEE
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...