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JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
Hilbert Space Embeddings and Metrics on Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...
IEEEPACT
2003
IEEE
15 years 2 months ago
Picking Statistically Valid and Early Simulation Points
Modern architecture research relies heavily on detailed pipeline simulation. Simulating the full execution of an industry standard benchmark can take weeks to months to complete. ...
Erez Perelman, Greg Hamerly, Brad Calder
ECCV
2008
Springer
15 years 11 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
ER
2007
Springer
125views Database» more  ER 2007»
15 years 3 months ago
On the Correlation between Process Model Metrics and Errors
Business process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive ap...
Jan Mendling, Gustaf Neumann, Wil M. P. van der Aa...
90
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SICHERHEIT
2010
14 years 7 months ago
Quantifying the Attack Surface of a Web Application
Abstract: The attack surface of a system represents the exposure of application objects to attackers and is affected primarily by architecture and design decisions. Given otherwise...
Thomas Heumann, Sven Türpe, Jörg Keller