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» Quantile and histogram estimation
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ECCV
2006
Springer
14 years 9 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann
ICIP
2003
IEEE
14 years 9 months ago
LLRT based detection of LSB hiding
In this paper we consider a hypothesis testing approach for detection of hiding in the least significant bit (LSB). This steganalysis problem is a composite hypothesis testing pro...
Kenneth Sullivan, Onkar Dabeer, Upamanyu Madhow, B...
ICIP
2001
IEEE
14 years 9 months ago
Automatic monitoring of waste-water in industrial plants basins
We describe an algorithm for the analysis of color images of basins which gather dirty water, with the objective of detecting and estimate the presence of exceeding combustible oi...
Gaetano Baldini, Paola Campadelli, Raffaella Lanza...
DBPL
2009
Springer
144views Database» more  DBPL 2009»
14 years 2 months ago
General Database Statistics Using Entropy Maximization
Abstract. We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most general form, a statistical assertion states t...
Raghav Kaushik, Christopher Ré, Dan Suciu
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
14 years 1 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta