This paper describes a visual playlist creation method based on a previously designed visualization technique for large music collections. The method gives users high-level contro...
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
This paper presents a novel method for mobile robot localization using visual appearance features. A multidimensional-histogram is used to describe the global appearance features ...
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...