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» An Efficient Algorithm for Local Distance Metric Learning
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SIGCOMM
2009
ACM
16 years 10 days ago
Temporal distance metrics for social network analysis
The analysis of social and technological networks has attracted a lot of attention as social networking applications and mobile sensing devices have given us a wealth of real data...
John Tang, Mirco Musolesi, Cecilia Mascolo, Vito L...
ICS
2003
Tsinghua U.
15 years 11 months ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua
VLDB
1997
ACM
170views Database» more  VLDB 1997»
15 years 9 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
ICPR
2002
IEEE
16 years 7 months ago
Metric-Based Shape Retrieval in Large Databases
This paper examines the problem of database organization and retrieval based on computing metric pairwise distances. A low-dimensional Euclidean approximation of a high-dimensiona...
Thomas B. Sebastian, Benjamin B. Kimia
CVPR
2009
IEEE
15 years 3 months ago
Learning IMED via shift-invariant transformation
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
Bing Sun, Jufu Feng, Liwei Wang