We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
In this paper, we present an architecture exploration methodology for low-end embedded systems where the reduction of cost is a primary design concern. The architecture exploratio...
This paper presents a new application field for the Goertzel algorithm. The test of mixed-signal circuits involves the generation and analysis of signals. A standard method for th...