A Self-Adaptive Recovery Net (SARN) is an extended Petri net model for specifying exceptional behavior in workflow systems. SARN caters for high-level recovery policies that are ...
Ensuring anonymity in sensor networks is a major security goal. Using traffic analysis, the attacker can compromise the network functionality by correlating data flow patterns to ...
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
Abstract. This paper describes a framework for analyzing video sequences of a driver and determining his level of attention. The proposed system deals with the computation of eyeli...
We describe a fast algorithm for Gabor filtering, specially designed for multi-scale image representations. Our proposal is based on three facts: first, Gabor functions can be de...