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» A type theory for probability density functions
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ICIP
2002
IEEE
14 years 6 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
12 years 11 months ago
Construction of Lyapunov functions for piecewise-deterministic Markov processes
The purpose of this contribution is twofold: 1) to present for the first time a Lyapunov function that proves exponential ergodicity of a process studied by the authors in [1], whe...
Alexandre R. Mesquita, João Pedro Hespanha
NIPS
2004
13 years 6 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
DATE
2006
IEEE
127views Hardware» more  DATE 2006»
13 years 10 months ago
A signal theory based approach to the statistical analysis of combinatorial nanoelectronic circuits
In this paper we present a method which allows the statistical analysis of nanoelectronic Boolean networks with respect to timing uncertainty and noise. All signals are considered...
Oliver Soffke, Peter Zipf, Tudor Murgan, Manfred G...
TWC
2008
126views more  TWC 2008»
13 years 4 months ago
Quadratic forms in normal RVs: theory and applications to OSTBC over hoyt fading channels
In this paper, the statistics of quadratic forms in normal random variables (RVs) are studied and their impact on performance analysis of wireless communication systems is explored...
George A. Ropokis, Athanasios A. Rontogiannis, P. ...