We present a new image morphing approach in which the output sequence is regenerated from small pieces of the two source (input) images. The approach does not require manual corre...
Eli Shechtman, Steve Seitz, Alex Rav-Acha, Michal ...
This paper studies the use of highly dynamic networks as infrastructures for persistent storage of data that offer services at specific geographical zones in a decentralized and...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
The widely used e-learning technology is facing new challenges such as how to produce student-centered systems that can be adapted to the needs of each student. Those objectives sh...