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» Learning Feature Distance Measures for Image Correspondences
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CVIU
2004
115views more  CVIU 2004»
13 years 9 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner
ICPR
2000
IEEE
14 years 10 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
FECS
2006
208views Education» more  FECS 2006»
13 years 10 months ago
Integral Learning Pedagogical Technique and Distance Learning applied in Laboratory Classes for Electrical and Computing Enginee
- This paper presents the results of a PhD thesis research, with an innovative proposal for the development of a Technical Laboratory Disciplines in Electrical and Computing Engine...
Paulo Alves Garcia, José Sidnei Colombo Mar...
ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
14 years 2 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
CVPR
2009
IEEE
15 years 4 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...