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MICCAI
2008
Springer
15 years 10 months ago
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
ICCV
1998
IEEE
15 years 11 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 1 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
CVPR
2007
IEEE
15 years 11 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
JCB
2006
185views more  JCB 2006»
14 years 9 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...