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» Lossy Reduction for Very High Dimensional Data
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SSD
2005
Springer
122views Database» more  SSD 2005»
15 years 3 months ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...
MCS
2001
Springer
15 years 1 months ago
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
Nikunj C. Oza, Kagan Tumer
ICDE
1998
IEEE
163views Database» more  ICDE 1998»
15 years 10 months ago
Fast Nearest Neighbor Search in High-Dimensional Space
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search on a large set of high-dimensional points as a basic operation for query process...
Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, H...
SIGMOD
1998
ACM
142views Database» more  SIGMOD 1998»
15 years 1 months ago
Dimensionality Reduction for Similarity Searching in Dynamic Databases
Databases are increasingly being used to store multi-media objects such as maps, images, audio and video. Storage and retrieval of these objects is accomplished using multi-dimens...
Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Amb...
82
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JMM2
2008
92views more  JMM2 2008»
14 years 9 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar