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» Modelling Smooth Paths Using Gaussian Processes
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VRML
2004
ACM
15 years 7 months ago
PathSim visualizer: an Information-Rich Virtual Environment framework for systems biology
Increasingly, biology researchers and medical practitioners are using computational tools to model and analyze dynamic systems across scales from the macro to the cellular to the ...
Nicholas F. Polys, Doug A. Bowman, Chris North, Re...
CVPR
2008
IEEE
15 years 3 months ago
Probabilistic multi-tensor estimation using the Tensor Distribution Function
Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water m...
Alex D. Leow, Siwei Zhu, Katie McMahon, Greig I. d...
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ICIP
2007
IEEE
16 years 3 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ECCV
2004
Springer
16 years 3 months ago
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
In this paper, we propose a new PDE-based methodology for deformable surfaces that is capable of automatically evolving its shape to capture the geometric boundary of the data and ...
Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras
PAMI
2007
123views more  PAMI 2007»
15 years 1 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski