Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
The ever growing request for digital information raises the need for content distribution architectures providing high storage capacity, data availability and good performance. Wh...
In this paper, an efficiently DWT-based watermarking technique is proposed to embed signatures in images to attest the owner identification and discourage the unauthorized copying...
The asynchronous systems f are the models of the asynchronous circuits from digital electrical engineering. They are multi-valued functions that associate to each input u : R {0, ...