We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
In this paper, we consider the problem of distributed compression in camera sensor networks. Due to the spatial proximity of the different cameras, acquired images can be highly d...
Block coders are among the most common compression tools available for still images and video sequences. Their low computational complexity along with their good performance make ...
Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman ...
Can we leverage the community-contributed collections of rich media on the web to automatically generate representative and diverse views of the world's landmarks? We use a c...
Abstract. It is common for large-scale Java applications to suffer memory problems, whether inefficient designs that impede scalability, or lifetime bugs such as leaks. Making sens...