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ICASSP
2011
IEEE
13 years 9 days ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
CSCW
2012
ACM
12 years 4 months ago
Socializing volunteers in an online community: a field experiment
Although many off-line organizations give their employees training, mentorship, a cohort and other socialization experiences that improve their retention and productivity, online ...
Rosta Farzan, Robert Kraut, Aditya Pal, Joseph A. ...
ECAI
2006
Springer
14 years 8 days ago
Polynomial Conditional Random Fields for Signal Processing
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
Trinh Minh Tri Do, Thierry Artières
ICML
2001
IEEE
14 years 9 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...