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» Graphical Models: Foundations of Neural Computation
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VISUALIZATION
2002
IEEE
14 years 16 days ago
Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI
In this paper we develop a new technique for tracing anatomical fibers from 3D tensor fields. The technique extracts salient tensor features using a local regularization techniq...
Leonid Zhukov, Alan H. Barr
VISUALIZATION
2003
IEEE
14 years 27 days ago
Image Space Based Visualization of Unsteady Flow on Surfaces
We present a novel technique for direct visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependen...
Robert S. Laramee, Bruno Jobard, Helwig Hauser
CGI
2006
IEEE
14 years 1 months ago
A Feature-Preserving and Volume-Constrained Flow for Fairing Irregular Meshes
In this paper, we introduce a novel approach to denoise meshes taking the balanced flow equation as the theoretical foundation.The underlying model consists of an anisotropic di...
Chunxia Xiao, Shu Liu, Qunsheng Peng, A. Robin For...
ICIG
2009
IEEE
13 years 5 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
14 years 1 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer