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» A Variational Approach to Learning Curves
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ICVS
2003
Springer
14 years 17 days ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
SIAMSC
2008
237views more  SIAMSC 2008»
13 years 7 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
CSSC
2008
80views more  CSSC 2008»
13 years 7 months ago
Logistic Discrimination with Total Variation Regularization
This article introduces a regularized logistic discrimination method that is especially suited for discretized stochastic processes (such as periodograms, spectrograms, EEG curves...
Robin Rühlicke, Daniel Gervini
CIMAGING
2009
274views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Image zooming with contour stencils
We introduce "contour stencils" as a simple method for detecting the local orientation of image contours and apply this detection to image zooming. Our approach is motiv...
Pascal Getreuer

Publication
151views
12 years 6 months ago
Embedding Overlap Priors in Variational Left Ventricle Tracking
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. This study investigates overlap priors for variational tracking of the Left Ventricle (LV...
Ismail Ben Ayed, Shuo Li and Ian Ross