338 search results - page 27 / 68 » Learning Flexible Features for Conditional Random Fields |
115
Voted
COLING
2008
15 years 4 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
136
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AAAI
2008
15 years 5 months ago
2008
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
112
Voted
DAS
2010
Springer
15 years 4 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
122
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SIGIR
2009
ACM
15 years 9 months ago
2009
ACM
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
141
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...