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MCS
2004
Springer
16 years 2 days ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 10 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
BIOCOMP
2008
15 years 7 months ago
Improved Segmentation Based on Probabilistic Labeling
⎯This paper presents an improved multi-object segmentation algorithm based on probabilistic labeling. First, a critical look is focused on utilizing vector calculus operator and ...
Kai-Chieh Yang, Ming-Chi Jhuang, Chun-Shun Tseng, ...
QEST
2005
IEEE
16 years 9 days ago
iLTLChecker: A Probabilistic Model Checker for Multiple DTMCs
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
YoungMin Kwon, Gul A. Agha
ICPR
2006
IEEE
16 years 7 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas