In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
Background: Network methods are increasingly used to represent the interactions of genes and/ or proteins. Genes or proteins that are directly linked may have a similar biological...
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
In this paper, coding theorems on the (t; m)-threshold scheme for a general source are discussed, where m means the number of the shares and t means a threshold. The (t; m)-thresho...
We present a mathematical model for network routing based on generating paths in a consistent direction. Our development is based on an algebraic and geometric framework for defini...