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» A Cost Model for Similarity Queries in Metric Spaces
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OSDI
2008
ACM
14 years 7 months ago
Finding Similar Failures Using Callstack Similarity
We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack...
Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan K...
MTA
2010
175views more  MTA 2010»
13 years 5 months ago
Building a web-scale image similarity search system
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Webscale datasets. In this paper...
Michal Batko, Fabrizio Falchi, Claudio Lucchese, D...
SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
14 years 7 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...
DELOS
2007
13 years 9 months ago
MESSIF: Metric Similarity Search Implementation Framework
The similarity search has become a fundamental computational task in many applications. One of the mathematical models of the similarity – the metric space – has drawn attenti...
Michal Batko, David Novak, Pavel Zezula
NMR
2004
Springer
14 years 25 days ago
Preliminary considerations on the modelling of belief change operators by metric spaces
In this paper, a possible worlds framework for representing general belief change operators is presented. In common with many approaches, an agent’s set of beliefs are specifie...
James P. Delgrande