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CCS
2008
ACM
15 years 5 months ago
HMAC is a randomness extractor and applications to TLS
In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functi...
Pierre-Alain Fouque, David Pointcheval, Séb...
PAMI
2007
157views more  PAMI 2007»
15 years 3 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus
IHI
2012
197views Healthcare» more  IHI 2012»
13 years 11 months ago
A corpus of clinical narratives annotated with temporal information
Clinical reports often include descriptions of events in the patient’s medical history, as well as explicit or implicit temporal information about these events. We are working t...
Lucian Galescu, Nate Blaylock
ICSE
2009
IEEE-ACM
16 years 4 months ago
A toolset for automated failure analysis
Classic fault localization techniques can automatically provide information about the suspicious code blocks that are likely responsible for observed failures. This information is...
Fabrizio Pastore, Leonardo Mariani, Mauro Pezz&egr...
RECOMB
2010
Springer
15 years 5 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...