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146
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DAGM
2006
Springer
15 years 7 months ago
Robust Non-rigid Object Tracking Using Point Distribution Manifolds
Abstract. We present an approach to non-rigid object tracking designed to handle textured objects in crowded scenes captured by non-static cameras. For this purpose, groups of low-...
Tom Mathes, Justus H. Piater
142
Voted
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 7 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
145
Voted
ICMLA
2007
15 years 5 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
140
Voted
IJCAI
2007
15 years 5 months ago
Robust Object Tracking with a Case-Base Updating Strategy
The paper describes a simple but effective framework for visual object tracking in video sequences. The main contribution of this work lies in the introduction of a case-based rea...
Wenhui Liao, Yan Tong, Zhiwei Zhu, Qiang Ji
145
Voted
NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 5 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung