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119
Voted
CVPR
2007
IEEE
16 years 3 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
123
Voted
CVPR
1996
IEEE
16 years 3 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
118
Voted
ICCV
2009
IEEE
16 years 6 months ago
Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval
We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
Christoph H. Lampert
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
84
Voted
CIVR
2009
Springer
121views Image Analysis» more  CIVR 2009»
15 years 8 months ago
A procedure of adaptive kernel combination with kernel-target alignment for object classification
Motoaki Kawanabe, Shinichi Nakajima, Alexander Bin...