119 search results - page 3 / 24 » Training Conditional Random Fields Using Incomplete Annotati... |
IJRR
2007
13 years 7 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
ACL
2004
13 years 9 months ago
2004
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Conditional Random Fields (CRFs) are a state-of-the-art approach to natural language processing tasks like grapheme-tophoneme (g2p) conversion which is used to produce pronunciati...