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» Information Visualization and Visual Data Mining
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NIPS
2008
15 years 5 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 2 months ago
Analyzing Abnormal Events from Spatio-temporal Trajectories
Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is capture...
Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li L...
BC
2000
75views more  BC 2000»
15 years 4 months ago
Predictions derived from modelling the hippocampal role in navigation
A computational model of the lesion and single unit data from navigation in rats is reviewed. The model uses external (visual) and internal (odometric) information from the environ...
Neil Burgess, Andrew Jackson, Tom Hartley, John O'...
VIP
2000
15 years 5 months ago
A System for Geographical and Spatial Data Exploration on the Internet
Developing a detailed 3D conceptual spatial data model and incorporating it for visualization, is a promising method of Spatial Data Exploration for a variety of applications espe...
Celyn S. L. Chan, Tony K. Y. Chan, Edmond Cyril Pr...
CSDA
2008
116views more  CSDA 2008»
15 years 4 months ago
High-dimensional data visualisation: The textile plot
The textile plot is a parallel coordinate plot in which the ordering, locations and scales of the axes are simultaneously chosen so that the connecting lines, each of which repres...
Natsuhiko Kumasaka, Ritei Shibata