We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
For a number of years, dataflow concepts have provided designers of digital signal processing systems with environments capable of expressing high-level software architectures as ...
William Plishker, Nimish Sane, Shuvra S. Bhattacha...
Constraint-driven Communication Synthesis enables the automatic design of the communication architecture of a complex system from a library of pre-defined Intellectual Property (I...
Alessandro Pinto, Luca P. Carloni, Alberto L. Sang...
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
The complexity of communication networks and the amount of information transferred in these networks have made the management of such networks increasingly difficult. Since faults ...