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» Variable selection using neural-network models
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ICPR
2006
IEEE
15 years 10 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai
ICASSP
2009
IEEE
15 years 4 months ago
Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach
Speech has a property that the speech unit preceding a speech pause tends to lengthen. This work presents the use of a dynamic Bayesian network to model the prepausal lengthening ...
Ning Ma, Chris Bartels, Jeff A. Bilmes, Phil Green
JMLR
2012
13 years 4 days ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
RTSS
2002
IEEE
15 years 2 months ago
Scheduling Aperiodic Requests under the Rate-Based Execution Model
Aperiodic requests with unknown execution times and unknown arrival patterns are dynamically mapped to ratebased execution (RBE) tasks with variable rates and scheduled such that ...
Steve Goddard, Xin Liu
SPLC
2008
14 years 11 months ago
Automated Diagnosis of Product-Line Configuration Errors in Feature Models
Feature models are widely used to model software product-line (SPL) variability. SPL variants are configured by selecting feature sets that satisfy feature model constraints. Conf...
Jules White, Douglas C. Schmidt, David Benavides, ...