Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
IEEE 802.11 MAC, called the Distributed Coordination Function (DCF), employs carrier sensing to effectively avoid collisions, but this makes it difficult to maximally reuse the sp...