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» Input Modeling Using Quantile Statistical Methods
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MCS
2004
Springer
15 years 7 months 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
CCE
2006
15 years 2 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
TMI
2010
148views more  TMI 2010»
15 years 21 days ago
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
SP
2002
IEEE
128views Security Privacy» more  SP 2002»
15 years 2 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
MEMOCODE
2003
IEEE
15 years 7 months ago
MoDe: A Method for System-Level Architecture Evaluation
System-level design methodologies for embedded HW/SW systems face several challenges: In order to be susceptible to systematic formal analysis based on state-space exploration, a ...
Jan Romberg, Oscar Slotosch, Gabor Hahn