217 search results - page 24 / 44 » Searching in metric spaces with user-defined and approximate... |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
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...
BMCBI
2008
13 years 7 months ago
2008
Background: A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-stru...
SCCC
2003
IEEE
14 years 28 days ago
2003
IEEE
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alte...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
CDC
2009
IEEE
14 years 11 days ago
2009
IEEE
— This work is concerned with the problem of characterizing and computing probabilistic bisimulations of diffusion processes. A probabilistic bisimulation relation between two su...