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» A probabilistic framework for image segmentation
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ICIP
2009
IEEE
14 years 9 months ago
An Efficient Bayesian Framework For On-line Action Recognition
On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most chall...
ICIP
2008
IEEE
14 years 9 months ago
Graph cut segmentation of neuronal structures from transmission electron micrographs
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers bui...
Nhat Vu, B. S. Manjunath
CVPR
2011
IEEE
12 years 11 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
14 years 1 months ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
PR
2006
122views more  PR 2006»
13 years 7 months ago
Integration of fuzzy spatial relations in deformable models - Application to brain MRI segmentation
This paper presents a general framework to integrate a new type of constraints, based on spatial relations, in deformable models. In the proposed approach, spatial relations are r...
Olivier Colliot, Oscar Camara, Isabelle Bloch