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» Robust object detection scheme using feature selection
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CVPR
2009
IEEE
15 years 1 months ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
PAMI
2008
175views more  PAMI 2008»
13 years 6 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...
ACL
2010
13 years 4 months ago
Using Parse Features for Preposition Selection and Error Detection
We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker...
Joel R. Tetreault, Jennifer Foster, Martin Chodoro...
ICIP
2009
IEEE
13 years 4 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
TVCG
2008
119views more  TVCG 2008»
13 years 6 months ago
Velocity-Aligned Discrete Oriented Polytopes for Dynamic Collision Detection
Abstract-- We propose an acceleration scheme for dynamic collision detection at interactive rates. We use a tight bounding volume representation that offers fast update rates and t...
Daniel S. Coming, Oliver G. Staadt