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UAI
2003
13 years 10 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
NIPS
2008
13 years 10 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne
UAI
2004
13 years 10 months ago
A Hierarchical Graphical Model for Record Linkage
The task of matching co-referent records is known among other names as record linkage. For large record-linkage problems, often there is little or no labeled data available, but u...
Pradeep D. Ravikumar, William W. Cohen
CVPR
2011
IEEE
13 years 4 months ago
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
Alexandros Panagopoulos, Chaohui Wang, Dimitris Sa...
DIS
2006
Springer
14 years 15 days ago
Model-Based Estimation of Word Saliency in Text
Abstract. We investigate a generative latent variable model for modelbased word saliency estimation for text modelling and classification. The estimation algorithm derived is able ...
Xin Wang, Ata Kabán