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» On Markov Chains for Independent Sets
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CORR
2008
Springer
111views Education» more  CORR 2008»
13 years 6 months ago
Concave Programming Upper Bounds on the Capacity of 2-D Constraints
The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distribut...
Ido Tal, Ron M. Roth
TIT
2011
116views more  TIT 2011»
13 years 2 months ago
Convex Programming Upper Bounds on the Capacity of 2-D Constraints
—The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distri...
Ido Tal, Ron M. Roth
ICASSP
2009
IEEE
14 years 2 months ago
Complete characterization of perfectly secure stego-systems with mutually independent embedding operation
Without any assumption on the cover source, this paper presents a complete characterization of all perfectly secure stego-systems that employ mutually independent embedding operat...
Tomás Filler, Jessica J. Fridrich
ICA
2007
Springer
13 years 11 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
ICML
2009
IEEE
14 years 2 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton