A theory of stereo image formation is presented that enables a complete classification of all possible stereo views, including non-perspective varieties. Towards this end, the not...
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
Abstract We present a datatype package that enables the shallow embedding technique to object-oriented specification and programming languages. This datatype package incrementally ...
With the rapid growth in wireless networks and sensor and mobile devices, we are moving towards an era of pervasive computing. Access control is challenging in these environments. ...