Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Abstract. We present a new analysis of the well-known family of multiplicative hash functions, and improved deterministic algorithms for selecting "good" hash functions. ...
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...
Given a multi-modal dynamical system, optimal switching logic synthesis involves generating conditions for switching between the system modes such that the resulting hybrid system...