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» Randomness extractors -- applications and constructions
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ICML
2007
IEEE
14 years 8 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
PODS
2006
ACM
134views Database» more  PODS 2006»
14 years 7 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
ISCAS
2008
IEEE
129views Hardware» more  ISCAS 2008»
14 years 1 months ago
Physical unclonable function with tristate buffers
— The lack of robust tamper-proofing techniques in security applications has provided attackers the ability to virtually circumvent mathematically strong cryptographic primitive...
Erdinç Öztürk, Ghaith Hammouri, B...
CSFW
2007
IEEE
14 years 1 months ago
Probability of Error in Information-Hiding Protocols
Randomized protocols for hiding private information can often be regarded as noisy channels in the informationtheoretic sense, and the inference of the concealed information can b...
Konstantinos Chatzikokolakis, Catuscia Palamidessi...
ICCSA
2005
Springer
14 years 28 days ago
Sinogram Denoising of Cryo-Electron Microscopy Images
Cryo-electron microscopy has recently been recognized as a useful alternative to obtain three-dimensional density maps of macromolecular complexes, especially when crystallography ...
Taneli Mielikäinen, Janne Ravantti