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IJCNN
2000
IEEE
15 years 2 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
IPPS
1999
IEEE
15 years 2 months ago
A Customizable Implementation of RMI for High Performance Computing
This paper describes an implementation of Java's Remote Method Invocation RMI that is designed to run on top of the Globus high performance computing protocol. The primary con...
Fabian Breg, Dennis Gannon
DCC
2004
IEEE
15 years 9 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
EUROCRYPT
2009
Springer
15 years 10 months ago
Realizing Hash-and-Sign Signatures under Standard Assumptions
Currently, there are relatively few instances of "hash-and-sign" signatures in the standard model. Moreover, most current instances rely on strong and less studied assum...
Susan Hohenberger, Brent Waters