89 search results - page 6 / 18 » Feature selection in conditional random fields for activity ... |
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are m...
KDD
2010
ACM
14 years 18 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ACL
2008
13 years 10 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
NIPS
2004
13 years 10 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...