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» Data Mining from Functional Brain Images
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ICIP
2002
IEEE
16 years 7 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
IJON
2008
114views more  IJON 2008»
15 years 6 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
BMCBI
2005
246views more  BMCBI 2005»
15 years 6 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
CVPR
2012
IEEE
13 years 8 months ago
Modulation transfer function of patch-based stereo systems
A widely used technique to recover a 3D surface from photographs is patch-based (multi-view) stereo reconstruction. Current methods are able to reproduce fine surface details, th...
Ronny Klowsky, Arjan Kuijper, Michael Goesele
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 7 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...