1014 search results - page 103 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
JMLR
2010
13 years 2 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
TIP
2008
13 years 7 months ago
2008
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
ESWA
2006
13 years 7 months ago
2006
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...