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133
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DICTA
2009
15 years 2 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
111
Voted
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 1 months ago
An Object-Oriented Metamodel for Bunge-Wand-Weber Ontology
A UML based metamodel for Bunge-Wand-Weber (BWW) ontology is presented. BWW ontology is a generic framework for analysis and conceptualization of real world objects. It includes c...
Arvind W. Kiwelekar, Rushikesh K. Joshi
83
Voted
PRL
2006
129views more  PRL 2006»
15 years 1 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
99
Voted
CVPR
2008
IEEE
16 years 3 months ago
Superpixel lattices
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Ideally, every pixel within each superpixel region will be...
Alastair P. Moore, Simon Prince, Jonathan Warrell,...
89
Voted
ICIP
2002
IEEE
16 years 2 months ago
Edge-preserving image reconstruction for coherent imaging applications
We propose a method for edge-preserving regularized reconstruction in coherent imaging systems. In our framework, image formation from measured data is achieved through the minimi...
Alan S. Willsky, Müjdat Çetin, William...