Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
In this paper we apply nonlinear signal analysis to a music information retrieval task. More concretely, we apply the concept of recurrence plots and recurrence histograms to extr...
Joan Serra, Carlos A. de los Santos, Ralph G. Andr...
With the rapid progress in science and technology, we find ubiquitous use of safety-critical systems in avionics, consumer electronics, and medical instruments. In such systems, u...
In this paper we identify the (P, Q)-DDH assumption, as an extreme, powerful generalization of the Decisional Diffie-Hellman (DDH) assumption: virtually all previously proposed gen...
We present a static analysis that infers both upper and lower bounds on the usage that a logic program makes of a set of user-definable resources. The inferred bounds will in gener...