Numbers: AbstractImageRepresentations Paul Haeberli Silicon Graphics Computer Systems Computer graphics research has concentrated on creating photo-realistic images of synthetic o...
This paper introduces a new approach to extend iconbased visualization methods by using a mosaic-based paradigm. We discuss, how image metaphors closely related to the application...
Thomas Nocke, Stefan Schlechtweg, Heidrun Schumann
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
Content-based retrieval and recognition of graphic images requires good models for symbol representation, able to identify those features providing the most relevant information a...