Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
Riccardo Masiero, Giorgio Quer, Michele Rossi, Mic...
Data exchange between embedded systems and other small or large computing devices increases. Since data in different data sources may refer to the same real world objects, data ca...
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
We present a novel paradigm for human to human asymmetric collaboration. There is a need for people at geographically separate locations to seamlessly collaborate in real time as ...
Ashutosh Morde, Jun Hou, S. Kicha Ganapathy, Carlo...
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...