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» Regularized Learning with Networks of Features
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NCA
2008
IEEE
15 years 6 months ago
Quicksilver Scalable Multicast (QSM)
QSM is a multicast engine designed to support a style of distributed programming in which application objects are replicated among clients and updated via multicast. The model req...
Krzysztof Ostrowski, Ken Birman, Danny Dolev
NDSS
2002
IEEE
15 years 4 months ago
Experimenting with Server-Aided Signatures
This paper explores practical and conceptual implications of using Server-Aided Signatures (SAS). SAS is a signature method that relies on partially-trusted servers for generating...
Xuhua Ding, Daniele Mazzocchi, Gene Tsudik
TNN
2011
142views more  TNN 2011»
14 years 6 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...
CIG
2005
IEEE
15 years 5 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
ICCV
2005
IEEE
16 years 1 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall