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» On Variations of Power Iteration
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ICML
2009
IEEE
14 years 10 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
CSL
2006
Springer
14 years 24 days ago
The Power of Linear Functions
Abstract. The linear lambda calculus is very weak in terms of expressive power: in particular, all functions terminate in linear time. In this paper we consider a simple extension ...
Sandra Alves, Maribel Fernández, Már...
APAL
2006
56views more  APAL 2006»
13 years 9 months ago
Power function on stationary classes
We show that under certain large cardinal requirements there is a generic extension in which the power function behaves differently on different stationary classes. We achieve this...
Moti Gitik, Carmi Merimovich
ICASSP
2008
IEEE
14 years 3 months ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar
DSN
2007
IEEE
14 years 3 months ago
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...