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» Learning the Structure of Deep Sparse Graphical Models
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CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
ACL
2008
13 years 10 months ago
Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...
MM
2006
ACM
127views Multimedia» more  MM 2006»
14 years 2 months ago
The computational extraction of temporal formal structures in the interactive dance work '22'
In this paper we propose a framework for the computational extraction of time characteristics of a single choreographic work. Computational frameworks can aid in revealing nonsali...
Vidyarani M. Dyaberi, Hari Sundaram, Thanassis Rik...
3DOR
2010
13 years 3 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
SI3D
2010
ACM
14 years 3 months ago
Learning skeletons for shape and pose
In this paper a method for estimating a rigid skeleton, including skinning weights, skeleton connectivity, and joint positions, given a sparse set of example poses is presented. I...
Nils Hasler, Thorsten Thormählen, Bodo Rosenh...