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CVPR
2003
IEEE
14 years 11 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 10 months ago
Estimating and Sampling Graphs with Multidimensional Random Walks
Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random w...
Bruno F. Ribeiro, Donald F. Towsley
ICCS
2004
Springer
14 years 3 months ago
Complex Network of Earthquakes
Complex Network of Earthquakes Sumiyoshi Abe Institute of Physics, University of Tsukuba Ibaraki 3058571, Japan First, a brief discussion is made about a relevance of nonextensive...
Sumiyoshi Abe, Norikazu Suzuki
CVPR
1999
IEEE
14 years 11 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
CCGRID
2003
IEEE
14 years 3 months ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...