In this paper we introduce a formalism which combines reliability and complexity as performance measures for Intelligent Machines. For a given desired reliability, di erent algori...
We propose a conceptually and technically neat method to identify known semantic patterns close to a novel pattern. This occurs in the context of a system to acquire knowledge inc...
Sylvain Delisle, Terry Copeck, Stan Szpakowicz, Ke...
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
This paper describes a model of three-dimensional cellular automata allowing to simulate different phenomena in the fields of computer graphics or image processing. Our method allo...
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology ...