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» A probabilistic framework for image segmentation
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ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
13 years 5 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
CVPR
2004
IEEE
14 years 9 months ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
CORR
2011
Springer
245views Education» more  CORR 2011»
13 years 2 months ago
A linear framework for region-based image segmentation and inpainting involving curvature penalization
Abstract We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start f...
Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Da...
ICIAR
2005
Springer
14 years 1 months ago
Vector Median Root Signals Determination for cDNA Microarray Image Segmentation
Abstract. This paper presents a new cDNA microarray image segmentation framework. The framework uses robust vector median filtering to generate a root sigLnal which is an image ob...
Rastislav Lukac, Konstantinos N. Plataniotis
KES
2007
Springer
14 years 1 months ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...