With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Background: Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell,...
Xiaomei Wu, Lei Zhu, Jie Guo, Cong Fu, Hongjun Zho...
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
We introduce a new primitive called Intrusion-Resilient Secret Sharing (IRSS), whose security proof exploits the fact that there exist functions which can be efficiently computed ...
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...