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The performance of peer-to-peer (P2P) networks depends critically on the good connectivity of the overlay topology. In this paper we study P2P networks for content distribution (such as Avalanche) that use randomized network coding techniques. The basic id ...
This paper is concerned with the problem of constructing a mapping from an arbitrary input space \Input into a binary output space \Bin\BinDim, based on a given data set \DataSet⊂\Input partitioned into classes. The aim is to reduce the tota ...
The classic Preisach model is used to describe a general hysteretic behaviour, and as most nonlinear systems, its output contains higher harmonics. A Fourier analysis of a specific class of weighting functions for the Preisach model relates some free param ...
This paper is concerned with the problem of constructing a mapping from an arbitrary input space \Input into a binary output space \Bin\BinDim, based on a given data set \DataSet⊂\Input partitioned into classes. The aim is to reduce the tota ...
The performance of peer-to-peer (P2P) networks depends critically on the good connectivity of the overlay topology. In this paper we study P2P networks for content distribution (such as Avalanche) that use randomized network coding techniques. The basic id ...
This work deals with modeling and control of thermoacoustic combustion instabilities in lean premixed combustion systems. Because of the complex interactions present in thermoacoustic systems, a network modeling approach is used. The model of each network ...
We consider the problem of interpolating a signal using a linear combination of shifted versions of a compactly-supported basis function φ(x). We first give the expression of the φ's that have minimal support for a given accuracy (also known as "approximat ...
Change detection plays a very important role in real-time image analysis, e.g., detection of intruders. One key issue is robustness to varying illumination conditions. We propose two techniques for change detection that have been developed to deal with var ...
