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JIIS
2002
141views more  JIIS 2002»
13 years 7 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
EDBT
2006
ACM
154views Database» more  EDBT 2006»
13 years 11 months ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
NPL
1998
87views more  NPL 1998»
13 years 7 months ago
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials
Adaptive artificial neural network techniques are introduced and applied to the factorization of 2-D second order polynomials. The proposed neural network is trained using a const...
Stavros J. Perantonis, Nikolaos Ampazis, Stavros V...
CIKM
2000
Springer
13 years 12 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
LION
2007
Springer
113views Optimization» more  LION 2007»
14 years 1 months ago
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks
Abstract. The practical utility of optimization technologies is often impacted by factors that reflect how these tools are used in practice, including whether various real-world c...
William E. Hart, Jonathan W. Berry, Erik G. Boman,...