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» Forecasting high-dimensional data
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EDBT
1998
ACM
155views Database» more  EDBT 1998»
15 years 1 months ago
Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations
Abstract. In this paper, we propose a new bulk-loading technique for high-dimensional indexes which represent an important component of multimedia database systems. Since it is ver...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
14 years 9 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
CGF
2011
14 years 1 months ago
Visualizing High-Dimensional Structures by Dimension Ordering and Filtering using Subspace Analysis
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
Bilkis J. Ferdosi, Jos B. T. M. Roerdink
60
Voted
ICANN
2007
Springer
15 years 3 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
69
Voted
PODS
2000
ACM
120views Database» more  PODS 2000»
15 years 1 months ago
Indexing the Edges - A Simple and Yet Efficient Approach to High-Dimensional Indexing
In this paper, we propose a new tunable index scheme, called iMinMax , that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Stépha...