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» Model generation for video-based object recognition
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JMLR
2010
192views more  JMLR 2010»
14 years 4 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
ACCV
1998
Springer
15 years 1 months ago
Shape Modeling from Multiple View Images Using GAs
Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method...
Satoshi Kirihara, Hideo Saito
ICPR
2008
IEEE
15 years 10 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
CAPTECH
1998
Springer
15 years 1 months ago
3D Part Recognition Method for Human Motion Analysis
A method for matching sequences from two perspective views of a moving person silhouette is presented. Regular (approximate uniform thickness) parts are detected on an image and a ...
Carlos Yániz, Jairo Rocha, Francisco J. Per...
ICMCS
2006
IEEE
134views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Motion Segmentation of 3D Video using Modified Shape Distribution
In this paper, temporal segmentation of 3D video based on motion analysis is presented. 3D video is a sequence of 3D models made for a real-world dynamic object. A modified shape ...
Toshihiko Yamasaki, Kiyoharu Aizawa