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CSL
2011
Springer
14 years 11 months ago
The subspace Gaussian mixture model - A structured model for speech recognition
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 3 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
VC
2002
129views more  VC 2002»
15 years 3 months ago
Modeling a Murex cabritii sea shell with a structured implicit surface modeler
Implicit surface modeling systems have been used since the mid-1980s for the generation of cartoon-like characters. Recently implicit models combined with constructive solid geome...
Callum Galbraith, Przemyslaw Prusinkiewicz, Brian ...
DATE
2003
IEEE
118views Hardware» more  DATE 2003»
15 years 9 months ago
Transforming Structural Model to Runtime Model of Embedded Software with Real-Time Constraints
The model-based methodology has proven to be effective for fast and low-cost development of embedded software. In the model-based development process, transforming a software stru...
Sharath Kodase, Shige Wang, Kang G. Shin
AIIA
2007
Springer
15 years 10 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta