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ICASSP
2010
IEEE
13 years 9 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...
BMCBI
2010
140views more  BMCBI 2010»
13 years 9 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
NIPS
1992
13 years 10 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
PNPM
1987
14 years 14 days ago
Toward a Definition of Modeling Power for Stochastic Petri Net Models
Some insight on the meaning of "modeling power" for Stochastic Petri Net models is given. Extensions characterizing a Stochastic Petri Net are categorized as logical or ...
Gianfranco Ciardo
OTM
2010
Springer
13 years 7 months ago
Modelling the Public Sector Information through CIDOC Conceptual Reference Model
Nowadays, due to the growing development of eGovernment information systems, there is an increasing need to handle Public Sector Information (PSI) in a homogeneous way. Ontologies ...
Lina Bountouri, Christos Papatheodorou, Manolis Ge...