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ICANN
2007
Springer
13 years 11 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
RT
2005
Springer
13 years 10 months ago
Metropolis Photon Sampling with Optional User Guidance
We present Metropolis Photon Sampling (MPS), a visual importance-driven algorithm for populating photon maps. Photon Mapping and other particle tracing algorithms fail if the phot...
Shaohua Fan, Stephen Chenney, Yu-chi Lai
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
13 years 10 months ago
Map-labelling with a multi-objective evolutionary algorithm
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-labelling involves placing labels for sites onto a map such that the result is easy ...
Lucas Bradstreet, Luigi Barone, R. Lyndon While
GCB
2004
Springer
101views Biometrics» more  GCB 2004»
13 years 10 months ago
Kleene's Theorem and the Solution of Metabolic Carbon Labeling Systems
: Carbon Labeling Systems (CLS) are large equation systems that describe the dynamics of labeled carbon atoms in a metabolic network. The rapid solution of these systems is the alg...
Nicole Isermann, Michael Weitzel, Wolfgang Wiecher...
DMIN
2006
156views Data Mining» more  DMIN 2006»
13 years 6 months ago
Design of a data mining framework to mine generalized association rules in a web-based GIS
A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
Sebastian Haehnel, Johannes Hauf, Thomas Kudrass