Models of computation like Kahn and dataflow process networks provide convenient means for modeling signal processing applicahis is partly due to the abstract primitives that thes...
Paul Lieverse, Pieter van der Wolf, Ed F. Deprette...
We present a novel approach to non-monotonic ILP and its implementation called tal (Top-directed Abductive Learning). tal overcomes some of the completeness problems of ILP systems...
This article proposes a hardware/software partitioning method targeted to performance-constrained systems for datapath applications. Exploiting a platform based design, a Timed Pe...
The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only ...
Nello Balossino, Maurizio Lucenteforte, Luca Piova...
A multivariate network is a graph whose nodes contain multi-dimensional attributes. We propose a method to visualize such a network using spherical Self-Organizing Map (SOM) and c...