598 search results - page 25 / 120 » A random graph model for massive graphs |
EMNLP
2010
13 years 9 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
UAI
2004
14 years 9 days ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
CDC
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we investigate limiting behavior of linear dynamic systems driven by random stochastic matrices. We introduce and study the new concepts of partial ergodicity and 1-...
CORR
2012
Springer
12 years 6 months ago
2012
Springer
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...