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» Robust object detection scheme using feature selection
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CVPR
2009
IEEE
16 years 8 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»
15 years 1 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
14 years 11 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
14 years 11 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»
15 years 1 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