In this work, we propose a framework that allows to build morphological operators for processing and filtering objects defined on t) simplicial complex spaces. We illustrate with...
Performance models are of increasing interest to professionals who do not have a background in mathematical analysis, it is important to provide additional mechanisms by developer...
Nigel Thomas, Malcolm Munro, Peter J. B. King, Rob...
—A new abstract model of computation, the computational manifold, provides a framework for approaching the problems of consciousness, awareness, cognition and symbolic processing...
There are a number of programmable macro systems such as Lisp's. While they can handle complex program transformation, they still have difficulty in handling some kinds of tr...
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...