1450 search results - page 74 / 290 » Complexity of Inference in Graphical Models |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
DCC
2011
IEEE
13 years 4 months ago
2011
IEEE
We present a general-purpose, lossless compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the infere...
ACCV
2006
Springer
14 years 22 days ago
2006
Springer
Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
SAC
2008
ACM
13 years 8 months ago
2008
ACM
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
NIPS
2003
13 years 10 months ago
2003
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...