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» Causation and Causal Conditionals
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CORR
2011
Springer
234views Education» more  CORR 2011»
13 years 2 months ago
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
Rami Atar, Tsachy Weissman
CSFW
1992
IEEE
13 years 11 months ago
Secure Dependencies with Dynamic Level Assignments
Most security models explicitly (or implicitly) include the tranquillity principle which prohibits changing the security level of a given piece of information. Yet in practical sy...
Pierre Bieber, Frédéric Cuppens
SIGPRO
2008
113views more  SIGPRO 2008»
13 years 7 months ago
Design of maximally flat IIR filters with flat group delay responses
Digital filters with linear phase responses, that is, constant group delay responses are needed in many applications for signal and image processing. In this paper, a novel method...
Xi Zhang
IJON
2010
189views more  IJON 2010»
13 years 6 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
PAMI
2010
174views more  PAMI 2010»
13 years 5 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji