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ICML
2010
IEEE
15 years 7 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
142
Voted
BC
2008
73views more  BC 2008»
15 years 6 months ago
Interaction of ON and OFF pathways for visual contrast measurement
We propose a novel model of visual contrast measurement based on segregated ON and OFF pathways. Two driving forces have shaped our investigation: (1) establishing a mechanism sele...
Heiko Neumann, Luiz Pessoa, Thorsten Hansen
ACTA
2006
108views more  ACTA 2006»
15 years 6 months ago
Refinement verification of the lazy caching algorithm
The lazy caching algorithm of Afek, Brown, and Merrit (1993) is a protocol that allows the use of local caches with delayed updates. It results in a memory model that is not atomi...
Wim H. Hesselink
DKE
2006
67views more  DKE 2006»
15 years 6 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...
IJHPCN
2008
94views more  IJHPCN 2008»
15 years 6 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...