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CGF
1998
124views more  CGF 1998»
13 years 8 months ago
Real-time Biomechanically-based Muscle Volume Deformation using FEM
This paper presents a voxel-based biomechanical model for muscle deformation using nite element method FEM and volume graphics. Hierarchical voxel meshes are reconstructed from ...
Qing-hong Zhu, Yan Chen, Arie E. Kaufman
ICASSP
2011
IEEE
13 years 11 days ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
ISBI
2008
IEEE
14 years 9 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
BMCBI
2007
138views more  BMCBI 2007»
13 years 8 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
PRICAI
2000
Springer
14 years 7 days ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst