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» On learning with dissimilarity functions
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CCS
2010
ACM
14 years 10 months ago
Modeling attacks on physical unclonable functions
We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PU...
Ulrich Rührmair, Frank Sehnke, Jan Sölte...
INFORMATICALT
2007
171views more  INFORMATICALT 2007»
14 years 10 months ago
E-Learning Documentation of Historical Living Systems with 3-D Modeling Functionality
The innovations and improvements in digital imaging sensors and scanners, computer modeling, haptic equipments and e-learning technology, as well as the availability of many powerf...
Athanasios D. Styliadis
SIGIR
2011
ACM
14 years 24 days ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
MICCAI
2005
Springer
15 years 11 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 10 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...