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REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION
Hidden Conditional Random Fields Speech Recognition Phone Classification Maximum a Posteriori
2015/6/12
We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
A Conversational Movie Search System Based on Conditional Random Fields
conditional random fields spoken dialogue system
2015/3/9
Online streaming companies such as Netflix have become
dominant in the media distribution sector. However, such media
delivery services often support very rudimentary search,
especially for natu...
A Uyghur Morpheme Analysis Method based on Conditional Random Fields
Xinjiang Uyghur Morpheme Agglutinative language CRFs Feature
2015/1/24
Morpheme analysis is very important for Uyghur language processing. Morpheme analysis
of Uyghur is quite different from other language, for this task the keys include feature
selection and the des...
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields（图）
Image Annotation Conditional Random Fields
2015/1/24
Automatic image annotation (AIA) has been proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. Due to the inherent ambiguit...