We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
With recent advancements of technology, radiofrequency ablation has become one of the most used techniques to treat liver tumors. But radiologists still have to face the difficul...
Caroline Villard, Luc Soler, Nicolas Papier, Vince...
I propose a notion of visual information as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are dis...
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D rec...