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132
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DCC
2011
IEEE
14 years 11 months ago
Sparse Boolean equations and circuit lattices
Abstract. A system of Boolean equations is called sparse if each equation depends on a small number of variables. Finding efficiently solutions to the system is an underlying hard ...
Igor Semaev
TIT
2010
107views Education» more  TIT 2010»
14 years 10 months ago
Information inequalities for joint distributions, with interpretations and applications
Upper and lower bounds are obtained for the joint entropy of a collection of random variables in terms of an arbitrary collection of subset joint entropies. These inequalities gene...
Mokshay M. Madiman, Prasad Tetali
129
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
IPMI
2011
Springer
14 years 7 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...
153
Voted
CORR
2012
Springer
188views Education» more  CORR 2012»
13 years 11 months ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes