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STACS
2005
Springer
15 years 5 months ago
Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics
Abstract. In recent years, probabilistic analyses of algorithms have received increasing attention. Despite results on the average-case complexity and smoothed complexity of exact ...
Carsten Witt
CVPR
1997
IEEE
16 years 1 months ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
ICDE
2008
IEEE
162views Database» more  ICDE 2008»
16 years 1 months ago
Adaptive Approximate Similarity Searching through Metric Social Networks
Exploiting the concepts of social networking represents a novel approach to the approximate similarity query processing. We present a metric social network where relations between...
Jan Sedmidubský, Pavel Zezula, Stanislav Ba...
FOCS
2004
IEEE
15 years 3 months ago
An Optimal Randomised Cell Probe Lower Bound for Approximate Nearest Neighbour Searching
We consider the approximate nearest neighbour search problem on the Hamming cube {0, 1}d. We show that a randomised cell probe algorithm that uses polynomial storage and word size...
Amit Chakrabarti, Oded Regev
COMGEO
2004
ACM
14 years 11 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...