An algorithm for finding nearest neighbours in (approximately) constant average time
Pattern Recognition Letters
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
Similarity search in metric databases through hashing
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Similarity Search without Tears: The OMNI Family of All-purpose Access Methods
Proceedings of the 17th International Conference on Data Engineering
On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
D-Index: Distance Searching Index for Metric Data Sets
Multimedia Tools and Applications
Making the Pyramid Technique Robust to Query Types and Workloads
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
On approximate matching of programs for protecting libre software
CASCON '06 Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research
SCAM '07 Proceedings of the Seventh IEEE International Working Conference on Source Code Analysis and Manipulation
A Tree Distance Function Based on Multi-sets
New Frontiers in Applied Data Mining
An optimal decomposition algorithm for tree edit distance
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
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Among similarity search indexes, the D-index introduced by Gennaro et al. in 2001 is regarded as an efficient metric access method. The performance of this index depends on several parameters, and their optimal configuration remains an open problem. We study two performance issues that occur when the D-index handles high dimensional objects. To solve these problems, we introduce an optimization that simplifies the D-index. By doing this, we remove two configuration parameters and improve performance.