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ICASSP
2009
IEEE
14 years 4 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
ICIP
1998
IEEE
14 years 11 months ago
Recognizing Surfaces from 3D Curves
;I general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives [sphe,res, cylinders, cones, and tori). The assumption is that Q curve on the s...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...
EMNLP
2010
13 years 8 months ago
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
Shaojun Zhao, Daniel Gildea
3DOR
2008
14 years 12 days ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
ICCV
2007
IEEE
14 years 12 months ago
Variational optimal control technique for the tracking of deformable objects
In this paper, a new framework for the tracking of closed curves is described. The proposed approach, formalized through an optimal control technique, enables a continuous trackin...
Nicolas Papadakis, Étienne Mémin