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» Algorithm Visualization in Teaching Spatial Data Algorithms
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VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 6 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
135
Voted
NIPS
2008
15 years 4 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
VISUALIZATION
2000
IEEE
15 years 7 months ago
Anisotropic geometric diffusion in surface processing
A new multiscale method in surface processing is presented here which combines the image processing methodology based on nonlinear diffusion equations and the theory of geometric ...
Ulrich Clarenz, Udo Diewald, Martin Rumpf
VISUALIZATION
2003
IEEE
15 years 7 months ago
Hierarchical Splatting of Scattered Data
Numerical particle simulations and astronomical observations create huge data sets containing uncorrelated 3D points of varying size. These data sets cannot be visualized interact...
Matthias Hopf, Thomas Ertl
139
Voted
TMM
2010
135views Management» more  TMM 2010»
14 years 9 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...