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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 2 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
CIKM
2000
Springer
15 years 6 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
CIDM
2009
IEEE
15 years 8 months ago
Automatic analysis of eye tracking data for medical diagnosis
— Several studies have analyzed the link between mental dysfunctions and eye movements, using eye tracking techniques to determine where a person is looking, that is, the fixati...
Filippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 2 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
15 years 8 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell