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ICPR
2010
IEEE
15 years 11 months ago
CDP Mixture Models for Data Clustering
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
Yangfeng Ji, Tong Lin, Hongbin Zha
UML
2005
Springer
16 years 26 days ago
Modeling Turnpike Frontend System: A Model-Driven Development Framework Leveraging UML Metamodeling and Attribute-Oriented Progr
This paper describes and empirically evaluates a new model-driven development framework, called Modeling Turnpike (or mTurnpike). It allows developers to model and program domain-s...
Hiroshi Wada, Junichi Suzuki
TSP
2012
14 years 2 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero
BPM
2009
Springer
175views Business» more  BPM 2009»
16 years 2 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
ICIP
2001
IEEE
16 years 9 months ago
Using hidden Markov model for Chinese business card recognition
Yuan-Kai Wang, Kuo-Chin Fan, Yau-Tarng Juang, Tai-...