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» On Latent Belief Structures
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CVPR
2007
IEEE
14 years 7 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
ICML
2010
IEEE
13 years 6 months ago
Exploiting Data-Independence for Fast Belief-Propagation
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
Julian John McAuley, Tibério S. Caetano
CVPR
2003
IEEE
14 years 7 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
ICTAI
2003
IEEE
13 years 10 months ago
Inference via Fuzzy Belief Petri Nets
The fuzzy belief Petri net we propose in this paper propagates fuzzy beliefs from observations at nodes that represent measured parameters to fuzzy beliefs of the truths of parame...
Carl G. Looney, Lily R. Liang
ICCS
2007
Springer
13 years 9 months ago
Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set
We present a case study to demonstrate the possibility of discovering complex and interesting latent structures using hierarchical latent class (HLC) models. A similar effort was m...
Nevin Lianwen Zhang