This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
An original algorithm is presented that generates both restricted integer compositions and restricted integer partitions that can be constrained simultaneously by a) upper and low...
: We review the singular value decomposition (SVD) and discuss some lesser-known applications of it that we find particularly interesting. We also discuss generalizations of the S...
Learning theory and programs to date are inductively bounded: they can be described as "wind-up toys" which can only learn the kinds of things that their designers envisi...