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» Lossy Reduction for Very High Dimensional Data
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ICDE
2000
IEEE
168views Database» more  ICDE 2000»
16 years 1 months ago
PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Paolo Ciaccia, Marco Patella
ICPR
2004
IEEE
16 years 27 days ago
Nearest Neighbor Ensemble
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...
Bojun Yan, Carlotta Domeniconi
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
14 years 11 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...
EDBT
1998
ACM
155views Database» more  EDBT 1998»
15 years 4 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 ...
AAAI
2007
15 years 2 months ago
Isometric Projection
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Deng Cai, Xiaofei He, Jiawei Han