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KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 5 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
ALT
2002
Springer
14 years 1 months ago
How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution
Abstract. We consider a problem that is related to the “Universal Encoding Problem” from information theory. The basic goal is to find rules that map “partial information”...
Dietrich Braess, Jürgen Forster, Tomas Sauer,...
CVPR
2009
IEEE
14 years 12 months ago
Global Active Contour-based Image Segmentation via Probability Alignment
Active contours is a popular technique for image segmentation. However, active contour tend to converge to the closest local minimum of its energy function and often requires a ...
Andriy Myronenko, Xubo B. Song
ICIP
2006
IEEE
14 years 6 months ago
Diffusion on Statistical Manifolds
This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional R...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
ICIP
2008
IEEE
13 years 11 months ago
General region merging approaches based on information theory statistical measures
This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this...
Felipe Calderero, Ferran Marqués