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This paper presents a multicast algorithm for peer-to-peer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain topics, organized in a hierarchy, and expect events of topics they subscribe ...
The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresh- olding. The threshold is derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distr ...
This paper presents a multicast algorithm for peer-to-peer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain topics, organized in a hierarchy, and expect events of topics they subscribe ...
In order to obtain target velocity in radar systems we use Doppler filters. It is usual in such applications to use window functions with prespecified shape and length. For a good target velocity estimation, it is necessary to apply adaptive length window ...
In recent work, it was proposed to use lossy compression to remove noise from corrupted signals, based on the rationale that a reasonable compression method retains the dominant signal features more than the randomness of the noise. To further understand a ...
In this paper, I develop a higher-order statistical theory of matching models against images. The basic idea is not only to take into account {\em how much} of an object can be seen in the image, but also {\em what parts} of it are jointly present. I show ...
Template-assembled synthetic proteins (TASPs) designed to adopt globular, four-helix bundle structures form ion channels in lipid bilayers. The rationale behind this work is that a bundle of amphiphilic alpha-helices may constitute a functional pore-formin ...
Model selection is commonly based on some variation of the BIC or minimum message length criteria, such as MML and MDL. In either case the criterion is split into two terms: one for the model (data code length/model complexity) and one for the data given t ...
This paper presents a distributed algorithm to disseminate events in a publish/subscribe system, where processes publish events of certain topics, organized in a hierarchy, and expect events of topics they subscribed to. Every topic defines a dynamic notio ...
This paper introduces and motivates the use of Gaussian Mixture Models (GMMs) for on-line signature verification. The individual Gaussian components are shown to represent some local, signer-dependent features that characterise spatial and temporal aspects ...
