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» Subspace Models for Functional MRI Data Analysis
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80
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ICPR
2000
IEEE
15 years 10 months ago
Sign of Gaussian Curvature from Eigen Plane Using Principal Components Analysis
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
Shinji Fukui, Yuji Iwahori, Akira Iwata, Robert J....
BMCBI
2005
161views more  BMCBI 2005»
14 years 9 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
ISBI
2004
IEEE
15 years 10 months ago
Reconstruction of 3D Dense Cardiac Motion From Tagged MR Sequences
This paper develops an energy minimization algorithm to reconstruct the 3D motion of transplanted hearts of small animals (rats) from tagged magnetic resonance (MR) sequences. We ...
Chien Ho, Hsun-Hsien Chang, José M. F. Mour...
70
Voted
AFRIGRAPH
2006
ACM
15 years 3 months ago
Volumetric high dynamic range windowing for better data representation
Volume data is usually generated by measuring devices (eg. CT scanners, MRI scanners), mathematical functions (eg., Marschner/Lobb function), or by simulations. While all these so...
Dirk Bartz, Benjamin Schnaidt, Jirko Cernik, Ludwi...
ICML
2009
IEEE
15 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...