Thomas Kolenda, Thomas Kolenda, Thomas Kolenda
Adaptive tools in virtual environments Independent component analysis for multimedia
Webmining: Learning from the World Wide Web (2001)
Jan Larsen, Lars Kai Hansen, Anna Szymkowiak, Torben Christiansen, Thomas Kolenda
Automated analysis of the world wide web is a new challenging area relevant in many applications, e.g., retrieval, navigation and organization of information, automated information assistants, and...
On Independent Component Analysis for Multimedia Signals (2000)
Jan Larsen, Lars Kai Hansen, Thomas Kolenda, Finn ˚arup Nielsen
Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world. The objective of this paper is to demonstrate the potential of independent component...
On Independent Component Analysis for Multimedia Signals (2000)
Jan Larsen, Lars Kai Hansen, Thomas Kolenda, Finn ˚arup Nielsen
Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world. The objective of this paper is to demonstrate the potential of independent component...
Webmining: learning from the world wide web (2000)
Jan Larsen, Lars Kai Hansen, Anna Szymkowiak, Torben Christiansen, Thomas Kolenda
Abstract: Automated analysis of the world wide web is a new challenging area relevant in many applications, e.g., retrieval, navigation and organization of information, automated information...
Independent components in text (2000)
Thomas Kolenda, Lars Kai Hansen
In this communication we analyze the feasibility of independent component analysis (ICA) for dimensional reduction and representation of word histograms. The analysis is carried out in a likelihood...
On Independent Component Analysis for Multimedia Signals (2000)
Lars Kai Hansen, Jan Larsen, Thomas Kolenda
We discuss the independent component problem within a context of multimedia applications. The literature offers several independent component analysis schemes which can be applied in this context,...
Modeling text with generalizable gaussian mixtures (2000)
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Arup Nielsen, Ulrik Kjems, Jan Larsen
We apply and discuss generalizable Gaussian mixture (GGM) models for textmining. The model automatically adapts model complexity for a given text representation. We show that the generalizability of...
Independent components in text (2000)
Thomas Kolenda, Lars Kai Hansen
In this communication we analyze the feasibility of independent component analysis (ICA) for dimensional reduction and representation of word histograms. The analysis is carried out in a likelihood...
On Independent Component Analysis for Multimedia Signals (2000)
Lars Kai Hansen, Jan Larsen, Thomas Kolenda
We discuss the independent component problem within a context of multimedia applications. The literature offers several independent component analysis schemes which can be applied in this context,...
Modeling Text With Generalizable Gaussian Mixtures (1999)
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Arup Nielsen, Ulrik Kjems, Jan Larsen
We apply and discuss generalizable Gaussian mixture (GGM) models for textmining. The model automatically adapts model complexity for a given text representation. We show that the generalizability of...
Modeling Text With Generalizable Gaussian Mixtures (1999)
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Arup Nielsen, Ulrik Kjems, Jan Larsen
We apply and discuss generalizable Gaussian mixture (GGM) models for textmining. The model automatically adapts model complexity for a given text representation. We show that the generalizability of...