868 search results - page 13 / 174 » Learning Object Representations Using Sequential Patterns |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. The actual case...
WAPCV
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
ICCV
2009
IEEE
15 years 14 days ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
3DOR
2009
13 years 8 months ago
2009
Most of the approaches which address the problem of 3D object retrieval, use global descriptors of the objects which fail to consistently compensate for the intra-class variabilit...
CVPR
2006
IEEE
14 years 1 months ago
2006
IEEE
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...