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ICASSP
2009
IEEE
15 years 1 months ago
From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems
Statistical Spoken LanguageUnderstandinggrammars (SSLUs) are often used only at the top recognition contexts of modern large-scale spoken dialog systems. We propose to use SSLUs a...
David Suendermann, Keelan Evanini, Jackson Liscomb...
CSL
2000
Springer
14 years 9 months ago
Efficient speech recognition using subvector quantization and discrete-mixture HMMS
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
67
Voted
LREC
2008
113views Education» more  LREC 2008»
14 years 11 months ago
Subdomain Sensitive Statistical Parsing using Raw Corpora
Modern statistical parsers are trained on large annotated corpora (treebanks). These treebanks usually consist of sentences addressing different subdomains (e.g. sports, politics,...
Barbara Plank, Khalil Sima'an
CVPR
2005
IEEE
15 years 11 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
TIP
2002
179views more  TIP 2002»
14 years 9 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki