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NIPS
2003
13 years 10 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims
AMC
2007
54views more  AMC 2007»
13 years 9 months ago
Optimization of radar scanning strategies using an ensemble relative error criterion
We study the formulation of the problem to retrieve wind fields from radar data. The considerations here view the radar locations as fixed with retrieved wind fields as functio...
Luther White, Alan Shapiro
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 9 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
14 years 10 months ago
InstantDB: Enforcing Timely Degradation of Sensitive Data
- People cannot prevent personal information from being collected by various actors. Several security measures are implemented on servers to minimize the possibility of a privacy v...
Nicolas Anciaux, Luc Bouganim, Harold van Heerde, ...
DBPL
2001
Springer
118views Database» more  DBPL 2001»
14 years 1 months ago
On Monotone Data Mining Languages
Abstract. We present a simple Data Mining Logic (DML) that can express common data mining tasks, like “Find Boolean association rules” or “Find inclusion dependencies.” At ...
Toon Calders, Jef Wijsen