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CVPR
1997
IEEE
16 years 7 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
CVPR
2000
IEEE
16 years 7 months ago
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
A new method for real-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and nds the ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
CVPR
2007
IEEE
16 years 7 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
ICCV
2003
IEEE
16 years 6 months ago
Background Modeling and Subtraction of Dynamic Scenes
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...
ECCV
2006
Springer
16 years 6 months ago
A Simple Solution to the Six-Point Two-View Focal-Length Problem
Abstract. This paper presents a simple and practical solution to the 6-point 2view focal-length estimation problem. Based on the hidden-variable technique we have derived a 15th de...
Hongdong Li