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» Faster Proximity Searching in Metric Data
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DEXA
2009
Springer
222views Database» more  DEXA 2009»
13 years 11 months ago
On Index-Free Similarity Search in Metric Spaces
Metric access methods (MAMs) serve as a tool for speeding similarity queries. However, all MAMs developed so far are index-based; they need to build an index on a given database. T...
Tomás Skopal, Benjamin Bustos
SIGMOD
2010
ACM
267views Database» more  SIGMOD 2010»
13 years 10 months ago
Processing proximity relations in road networks
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...
Zhengdao Xu, Hans-Arno Jacobsen
SISAP
2008
IEEE
153views Data Mining» more  SISAP 2008»
13 years 11 months ago
Counting Distance Permutations
Distance permutation indexes support fast proximity searching in high-dimensional metric spaces. Given some fixed reference sites, for each point in a database the index stores a...
Matthew Skala
CIBCB
2009
IEEE
13 years 6 months ago
An application of the metric access methods to the mass spectrometry data
Mass spectrometry is a very popular method for protein and peptide identification nowadays. Abundance of data generated in this way grows exponentially every year and although ther...
Jiri Novák, David Hoksza
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 7 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...