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» A Stochastic Model for Video and its Information Rates
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FSTTCS
2008
Springer
13 years 10 months ago
Solvency Games
Abstract. We study the decision theory of a maximally risk-averse investor — one whose objective, in the face of stochastic uncertainties, is to minimize the probability of ever ...
Noam Berger, Nevin Kapur, Leonard J. Schulman, Vij...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 8 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
BMCBI
2008
112views more  BMCBI 2008»
13 years 9 months ago
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regul
Background: Innumerable biological investigations require comparing collections of molecules, cells or organisms to one another with respect to one or more of their properties. Al...
Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Mic...
ICIP
2003
IEEE
14 years 10 months ago
Towards a theory for video coding using distributed compression principles
Thispaper presents an information-theoreticstudy ofvideo codecs that are based on the principle of source coding with side information at the decoder In contrast to the classical ...
Prakash Ishwar, Vinod M. Prabhakaran, Kannan Ramch...
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 3 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...