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» The RIM Framework for Image Processing
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ICIP
2005
IEEE
15 years 3 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
DAGM
2008
Springer
14 years 11 months ago
Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...
Stefan Schwärzler, Joachim Schenk, Frank Wall...
VISSYM
2004
14 years 11 months ago
Illustrating Surfaces in Volume
This paper presents a novel framework for illustrating surfaces in a volume. Surfaces are illustrated by drawing only feature lines, such as silhouettes, valleys, ridges, and surf...
Xiaoru Yuan, Baoquan Chen
DAGM
2010
Springer
14 years 11 months ago
Geometrically Constrained Level Set Tracking for Automotive Applications
We propose a new approach for integrating geometric scene knowledge into a level-set tracking framework. Our approach is based on a novel constrained-homography transformation mode...
Esther Horbert, Dennis Mitzel, Bastian Leibe
ICIP
2009
IEEE
14 years 7 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu