This paper presents a conceptual framework and a process model for feature extraction and iconic visualization. Fearaction is viewed as a process of data abstraction, which can pr...
Frank J. Post, Theo van Walsum, Frits H. Post, Deb...
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
Abstract. Model transformations operate on models conforming to precisely defined metamodels. Consequently, it often seems relatively easy to chain them: the output of a transforma...
In this paper we introduce GMD, an abstract but rich data model for representing multidimensional information, equipped with logicbased semantics and seamlessly integrated with a f...
Abstract. Data hiding techniques onto images provide tools for protecting copyright or sending secret messages, and they are currently utilized as a simple input device of a cell p...