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CORR
2006
Springer
125views Education» more  CORR 2006»
13 years 7 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 8 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 12 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 5 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 ...