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ICML
2009
IEEE
14 years 11 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICASSP
2008
IEEE
14 years 4 months ago
Generalized Improved Spread Spectrum watermarking robust against translation attacks
In this work, we consider the ISS (improved spread spectrum) watermarking [1] framework, and propose a generalized version of it, termed “Generalized Improved Spread Spectrum”...
Neslihan Gerek, Mehmet Kivanç Mihçak
ECCV
2006
Springer
14 years 12 months ago
Fast Memory-Efficient Generalized Belief Propagation
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
M. Pawan Kumar, Philip H. S. Torr
ICIP
2005
IEEE
14 years 11 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
SSPR
2004
Springer
14 years 3 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor