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» Learning in Gaussian Markov random fields
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152
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ISVC
2009
Springer
15 years 8 months ago
Codebook-Based Background Subtraction to Generate Photorealistic Avatars in a Walkthrough Simulator
Foregrounds extracted from the background, which are intended to be used as photorealistic avatars for simulators in a variety of virtual worlds, should satisfy the following four ...
Anjin Park, Keechul Jung, Takeshi Kurata
ICASSP
2010
IEEE
15 years 2 months ago
A novel, fast, and complete 3D segmentation of vertebral bones
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs), especially the trabecular bones (TBs). In this paper...
Melih S. Aslan, Asem M. Ali, Ham Rara, Ben Arnold,...
139
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MICCAI
2003
Springer
16 years 4 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
IBPRIA
2007
Springer
15 years 9 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
117
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TMI
2010
133views more  TMI 2010»
15 years 1 months ago
Synthetic Magnetic Resonance Imaging Revisited
—Synthetic magnetic resonance (MR) imaging is an approach suggested in the literature to predict MR images at different design parameter settings from at least three observed MR ...
Ranjan Maitra, John J. Riddles