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PODS
1997
ACM
182views Database» more  PODS 1997»
15 years 6 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
115
Voted
CVPR
2010
IEEE
15 years 3 months ago
Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
153
Voted
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
15 years 3 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
15 years 3 months ago
Search space reduction technique for constrained optimization with tiny feasible space
The hurdles in solving Constrained Optimization Problems (COP) arise from the challenge of searching a huge variable space in order to locate feasible points with acceptable solut...
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David ...
118
Voted
SIGMOD
2003
ACM
152views Database» more  SIGMOD 2003»
16 years 2 months ago
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects
In modern application domains such as multimedia, molecular biology and medical imaging, similarity search in database systems is becoming an increasingly important task. Especial...
Hans-Peter Kriegel, Stefan Brecheisen, Peer Kr&oum...