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» Quantization of Discrete Probability Distributions
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CONCUR
2009
Springer
14 years 2 months ago
Strict Divergence for Probabilistic Timed Automata
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. In previous work, a probabilistic notion of time divergence for p...
Jeremy Sproston
AICT
2006
IEEE
129views Communications» more  AICT 2006»
13 years 11 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
IDEAL
2000
Springer
13 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ICIP
2005
IEEE
14 years 1 months ago
Minmax strategies for QIM watermarking subject to attacks with memory
This paper examines the role of attacker’s memory in Quantization Index Modulation (QIM) watermarking systems. First we derive the attacker’s noise distribution that maximizes...
Pierre Moulin, Anil Kumar Goteti
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...