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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ESORICS
2010
Springer
13 years 9 months ago
k-Zero Day Safety: Measuring the Security Risk of Networks against Unknown Attacks
The security risk of a network against unknown zero day attacks has been considered as something unmeasurable since software flaws are less predictable than hardware faults and the...
Lingyu Wang, Sushil Jajodia, Anoop Singhal, Steven...
WWW
2003
ACM
14 years 8 months ago
Techniques and Metrics for Improving Website Structure
In this work two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website...
Eleni Christopoulou, John D. Garofalakis, Christos...
CVPR
2008
IEEE
14 years 10 months ago
Rank-based distance metric learning: An application to image retrieval
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Jung-Eun Lee, Rong Jin, Anil K. Jain
EDBT
2006
ACM
121views Database» more  EDBT 2006»
14 years 8 months ago
On Fast Non-metric Similarity Search by Metric Access Methods
Abstract. The retrieval of objects from a multimedia database employs a measure which defines a similarity score for every pair of objects. The measure should effectively follow th...
Tomás Skopal