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» Learning Hierarchical Shape Models from Examples
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ISBI
2009
IEEE
14 years 2 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
ACCV
2006
Springer
14 years 1 months ago
Virtual Fashion Show Using Real-Time Markerless Motion Capture
Abstract. This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape ...
Ryuzo Okada, Björn Stenger, Tsukasa Ike, Nobu...
SI3D
2010
ACM
14 years 2 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...
UAI
2008
13 years 9 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
ALT
1998
Springer
13 years 12 months ago
PAC Learning from Positive Statistical Queries
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
François Denis