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APVIS
2010
13 years 14 days ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
ICDE
2003
IEEE
116views Database» more  ICDE 2003»
14 years 6 months ago
Joining Massive High-Dimensional Datasets
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
Tamer Kahveci, Christian A. Lang, Ambuj K. Singh
ICANN
2007
Springer
13 years 11 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters
PCM
2001
Springer
183views Multimedia» more  PCM 2001»
13 years 10 months ago
An Adaptive Index Structure for High-Dimensional Similarity Search
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
Peng Wu, B. S. Manjunath, Shivkumar Chandrasekaran
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 5 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal