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IJAR
2008
177views more  IJAR 2008»
13 years 7 months ago
Defining belief functions using mathematical morphology - Application to image fusion under imprecision
We address in this paper the problem of defining belief functions, typically for multi-source classification applications in image processing. We propose to use mathematical morph...
Isabelle Bloch
MVA
1994
138views Computer Vision» more  MVA 1994»
13 years 9 months ago
A High-Speed Document Image Classifier
In this paper, a high-speed document image classification algorithm is presented. The algorithm is based on the bottom-up strategy which can successfully segment and classify any ...
Lejun Shao
IJCV
2008
241views more  IJCV 2008»
13 years 7 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
FS
2006
65views more  FS 2006»
13 years 7 months ago
Consistency among trading desks
Abstract. We consider a bank having several trading desks, each of which trades a different class of contingent claims with each desk using a different model. We assume that the mo...
David Heath, Hyejin Ku
ACL
2009
13 years 5 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov