189 search results - page 8 / 38 » On the success of network inference using a markov routing m... |
JMLR
2010
13 years 2 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
AUSAI
2009
Springer
14 years 2 months ago
2009
Springer
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
INFOCOM
1995
IEEE
13 years 11 months ago
1995
IEEE
In this work we suggest an algorithm that increases the reservation success probability for bursty tra c in high speed networks by adding exibility to the construction of the rout...
UAI
2008
13 years 9 months ago
2008
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...