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CORR
2006
Springer
125views Education» more  CORR 2006»
13 years 4 months ago
Barriers and local minima in energy landscapes of stochastic local search
: A local search algorithm operating on an instance of a Boolean constraint satisfaction problem (in particular, k-SAT) can be viewed as a stochastic process traversing successive ...
Petteri Kaski
ICML
2010
IEEE
13 years 6 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
ASPDAC
1999
ACM
112views Hardware» more  ASPDAC 1999»
13 years 9 months ago
Relaxed Simulated Tempering for VLSI Floorplan Designs
In the past two decades, the simulated annealing technique has been considered as a powerful approach to handle many NP-hard optimization problems in VLSI designs. Recently, a new...
Jason Cong, Tianming Kong, Dongmin Xu, Faming Lian...
CVPR
2009
IEEE
14 years 3 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...