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» A Theoretical Comparison of Monte Carlo Radiosity Algorithms
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WSC
2007
14 years 12 months ago
Transformations for accelerating MCMC simulations with broken ergodicity
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
Mark Fleischer
TSP
2008
88views more  TSP 2008»
14 years 9 months ago
Statistical Performance of MUSIC-Like Algorithms in Resolving Noncircular Sources
Abstract--This paper addresses the resolution of the conventional and noncircular MUSIC algorithms for arbitrary circular and noncircular second-order distributions of two uncorrel...
Habti Abeida, Jean Pierre Delmas
ICASSP
2011
IEEE
14 years 1 months ago
Two effective and computationally efficient pure-pixel based algorithms for hyperspectral endmember extraction
Endmember extraction is of prime importance in the process of hyperspectral unmixing so as to study the mineral composition of a landscape from its hyperspectral observations. Tho...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Chong-Yu...
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AE
2005
Springer
15 years 3 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
ECCV
2002
Springer
15 years 11 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
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...
Feng Han, Zhuowen Tu, Song Chun Zhu