90 search results - page 13 / 18 » Maximum Entropy Markov Models for Information Extraction and... |
TASLP
2008
13 years 7 months ago
2008
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
WWW
2009
ACM
14 years 2 months ago
2009
ACM
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
NIPS
1998
13 years 8 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
ICIP
1998
IEEE
14 years 9 months ago
1998
IEEE
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
FGR
2011
IEEE
12 years 11 months ago
2011
IEEE
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...