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» Inference of field initialization
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UAI
2004
13 years 8 months ago
Graph Partition Strategies for Generalized Mean Field Inference
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
Eric P. Xing, Michael I. Jordan
CVPR
2005
IEEE
14 years 9 months ago
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
Active contours or snakes have been extensively utilized in handling image segmentation and classification problems. In traditional active contour models, snake initialization is ...
Chunming Li, Jundong Liu, Martin D. Fox
CHI
2005
ACM
14 years 7 months ago
ACM SIGGRAPH user experience initiatives
There has been a substantial growth in the number of educational and networking opportunities for professionals in the computer graphics and related fields in the last three years...
Barbara Helfer
ECCV
2002
Springer
14 years 9 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
14 years 28 days ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman