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» On the design of robust classifiers for computer vision
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ECCV
2010
Springer
14 years 13 days ago
Discriminative Spatial Attention for Robust Tracking
Abstract. A major reason leading to tracking failure is the spatial distractions that exhibit similar visual appearances as the target, because they also generate good matches to t...
ECCV
2008
Springer
14 years 9 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
MM
2003
ACM
111views Multimedia» more  MM 2003»
14 years 27 days ago
A robust dissolve detector by support vector machine
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...
Chong-Wah Ngo
ACCV
2010
Springer
13 years 2 months ago
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zh...
ISMAR
2005
IEEE
14 years 1 months ago
Design and Implementation of a Widget Set for Steerable Projector-Camera Units
We describe the design and implementation of graphical interaction widgets for use with a steerable projectorcamera unit. The design of our widgets is adapted to provide the right...
Dennis Reiter, Andreas Butz