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» A Practical Approach to Model Extension
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SSPR
2010
Springer
15 years 3 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
CODES
2008
IEEE
15 years 6 months ago
Model checking SystemC designs using timed automata
SystemC is widely used for modeling and simulation in hardware/software co-design. Due to the lack of a complete formal semantics, it is not possible to verify SystemC designs. In...
Paula Herber, Joachim Fellmuth, Sabine Glesner
ICASSP
2011
IEEE
14 years 8 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
EDOC
2007
IEEE
15 years 11 months ago
Getting Rid of the OR-Join in Business Process Models
Abstract— In practice, the development of process-aware information systems suffers from a gap between conceptual business process models and executable workflow specifications...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
ECML
2006
Springer
15 years 8 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...