This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
In this paper we discuss an algorithm that is able to provide a scalable (multiresolution) representation of the motion field information. It has been recently demonstrated that, ...
Davide Maestroni, Augusto Sarti, Marco Tagliasacch...
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
Wireless sensors use low power radio transceivers due to the stringent constraints on battery capacity. As a result, radio transmission with wireless sensors is unreliable. Furthe...
In-memory tree structured index search is a fundamental database operation. Modern processors provide tremendous computing power by integrating multiple cores, each with wide vect...
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eri...