The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
— In ultra-deep sub-micron technologies, modeling waveform shapes correctly is essential for accurate timing and noise analysis. Due to process and environmental variations, ther...
Vladimir Zolotov, Jinjun Xiong, Soroush Abbaspour,...
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
Benoit Mory, Laurent D. Cohen, Oudom Somphone, Sh&...
The LAOS model, a 5-layer adaptive hypermedia (AH) authoring model, was previously shown to specify a flexible framework for (collaborative) creation of material for the semantic ...