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» Object Recognition Using Segmentation for Feature Detection
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ICCV
2003
IEEE
16 years 3 months ago
Object Recognition with Informative Features and Linear Classification
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
Michel Vidal-Naquet, Shimon Ullman
CVPR
2008
IEEE
16 years 4 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...
ICIAP
2007
ACM
16 years 2 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...
ICMCS
2006
IEEE
98views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Video Object Segmentation Based on Object Enhancement and Region Merging
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to impr...
Ken Ryan, Aishy Amer, Langis Gagnon
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld