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CVPR
2010
IEEE
13 years 8 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
CORR
2002
Springer
106views Education» more  CORR 2002»
13 years 7 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint
CONEXT
2007
ACM
13 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
ASIACRYPT
2009
Springer
14 years 2 months ago
A Framework for Universally Composable Non-committing Blind Signatures
A universally composable (UC) blind signature functionality requres users to commit to the message to be blindly signed. It is thereby impossible to realize in the plain model. Th...
Masayuki Abe, Miyako Ohkubo