320 search results - page 16 / 64 » Using Conditional Random Fields for Decision-Theoretic Plann... |
ICMCS
2007
IEEE
15 years 4 months ago
2007
IEEE
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
EMNLP
2006
14 years 11 months ago
2006
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...