An algorithm for finding nearest neighbours in (approximately) constant average time
Pattern Recognition Letters
Data structures and algorithms for nearest neighbor search in general metric spaces
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
A fast bit-vector algorithm for approximate string matching based on dynamic programming
Journal of the ACM (JACM)
Some approaches to best-match file searching
Communications of the ACM
Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Modern Information Retrieval
Probabilistic proximity search: fighting the curse of dimensionality in metric spaces
Information Processing Letters
An Effective Clustering Algorithm to Index High Dimensional Metric Spaces
SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
Pivot selection techniques for proximity searching in metric spaces
Pattern Recognition Letters
Index-driven similarity search in metric spaces (Survey Article)
ACM Transactions on Database Systems (TODS)
A compact space decomposition for effective metric indexing
Pattern Recognition Letters
Faster retrieval with a two-pass dynamic-time-warping lower bound
Pattern Recognition
Speeding up spatial approximation search in metric spaces
Journal of Experimental Algorithmics (JEA)
Simple space-time trade-offs for AESA
WEA'07 Proceedings of the 6th international conference on Experimental algorithms
Indexing methods for approximate dictionary searching: Comparative analysis
Journal of Experimental Algorithmics (JEA)
Dynamic optimization of queries in pivot-based indexing
Multimedia Tools and Applications
Hi-index | 0.10 |
We give efficient algorithms and index data structures for range search in general metric spaces. We give a simple methods to make almost any existing algorithm memory adaptive, improving the search the more memory is available. For vector spaces and metric space of strings we show how several distances can be computed in bit-parallelly, in sequential computer, and use the result to improve the search performance. This method works especially well with approximate range queries. The experimental results show that we can obtain order of magnitude improvements over the existing methods.