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» Fast Line-Based Imaging of Small Sample Features
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CVPR
2009
IEEE
16 years 2 months ago
Real-Time Learning of Accurate Patch Rectification
Recent work [5, 6] showed that learning-based patch rectification methods are both faster and more reliable than affine region methods. Unfortunately, their performance improveme...
Stefan Hinterstoisser, Oliver Kutter, Nassir Navab...
MCS
2010
Springer
14 years 11 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
ISBI
2008
IEEE
15 years 10 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
ISMS
2004
Springer
15 years 3 months ago
Liver Vessel Parameter Estimation from Tactile Imaging Information
Realistic tissue models require accurate representations of the properties of in vivo tissue. This study examines the potential for tactile imaging to measure tissue properties an...
Anna M. Galea, Robert D. Howe
COMPGEOM
2006
ACM
15 years 3 months ago
A fast k-means implementation using coresets
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
Gereon Frahling, Christian Sohler