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CVPR
2008
IEEE
16 years 8 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
EVOW
2008
Springer
15 years 8 months ago
An Evolutionary Approach for Ontology Driven Image Interpretation
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology ...
Germain Forestier, Sébastien Derivaux, C&ea...
ISBI
2007
IEEE
16 years 1 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
EMMCVPR
2011
Springer
14 years 6 months ago
SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
Abstract. This paper proposes an algorithm for image segmentation using GraphCuts which can be used to efficiently solve labeling problems on high resolution images or resource-lim...
Björn Scheuermann, Bodo Rosenhahn
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
16 years 26 days ago
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
José Santos, Óscar Ibáñ...