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CVPR
2011
IEEE
13 years 3 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
COGSCI
2004
106views more  COGSCI 2004»
13 years 7 months ago
Can musical transformations be implicitly learned?
The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowabl...
Zoltan Dienes, H. Christopher Longuet-Higgins
SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
14 years 7 months ago
Deriving Private Information from Randomized Data
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
Zhengli Huang, Wenliang Du, Biao Chen
DEON
2010
Springer
13 years 10 months ago
A Logical Model of Private International Law
We provide a logical analysis of private international law, the body of law establishing when courts of a country should decide a case (jurisdiction) and what legal system they sho...
Phan Minh Dung, Giovanni Sartor
STOC
2001
ACM
119views Algorithms» more  STOC 2001»
14 years 8 months ago
Private approximation of NP-hard functions
d Abstract] Shai Halevi Robert Krauthgamer Eyal Kushilevitz Kobbi Nissim ? The notion of private approximation was introduced recently by Feigenbaum, Fong, Strauss and Wright. Inf...
Shai Halevi, Robert Krauthgamer, Eyal Kushilevitz,...