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» Approximation algorithms for projective clustering
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103
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VISSYM
2003
15 years 1 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
79
Voted
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
15 years 6 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
ICPR
2010
IEEE
15 years 23 days ago
Multi-object Segmentation in a Projection Plane Using Subtraction Stereo
We propose a method for multi-object segmentation in a projection plane. Our algorithm requires a stereo camera system called Subtraction Stereo, which extracts foreground informa...
Toru Ubukata, Kenji Terabayashi, Alessandro Moro, ...
COMPGEOM
2000
ACM
15 years 5 months ago
When crossings count - approximating the minimum spanning tree
We present an (1+ε)-approximation algorithm for computing the minimum-spanning tree of points in a planar arrangement of lines, where the metric is the number of crossings betwee...
Sariel Har-Peled, Piotr Indyk
VDA
2010
169views Visualization» more  VDA 2010»
15 years 3 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...