This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
This paper introduces a doctoral research on open innovation solver's behavior and group factors inducing it. The research is now finishing its first year and exploratory str...
An increasing number of computer vision applications require on-line processing of data streams, preferably in real-time. This trend is fueled by the mainstream availability of low...