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ALENEX
2001
105views Algorithms» more  ALENEX 2001»
15 years 19 days ago
A Probabilistic Spell for the Curse of Dimensionality
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
Edgar Chávez, Gonzalo Navarro
KAIS
2000
87views more  KAIS 2000»
14 years 11 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
DASFAA
2010
IEEE
189views Database» more  DASFAA 2010»
15 years 4 months ago
Peer-to-Peer Similarity Search Based on M-Tree Indexing
Similarity search in metric spaces has several important applications both in centralized and distributed environments. In centralized applications, such as similarity-based image ...
Akrivi Vlachou, Christos Doulkeridis, Yannis Kotid...
FOCS
2009
IEEE
15 years 3 months ago
Space-Efficient Framework for Top-k String Retrieval Problems
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
SPIRE
2005
Springer
15 years 4 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez