Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
We present an interactive system for the generation of high quality triangle meshes that allows us to handle hybrid geometry (point clouds, polygons, ...) as input data. In order ...
Ever increasing environmental demands from customers, authorities and governmental organizations as well as new business control functions are integrated to environmental manageme...
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Numerical particle simulations and astronomical observations create huge data sets containing uncorrelated 3D points of varying size. These data sets cannot be visualized interact...
This report is part of the seminar Digital Information Curation held by Prof. Dr. Marc H. Scholl and Dr. Andr?e Seifert during the winter term 2005/06. Its intention is to summari...
Peter Buneman, Sanjeev Khanna, Keishi Tajima, Wang...