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This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals is important because they are generated by many real-world processes. The first stage of the signal classification process entails the transformation of the signal into the(More)
This paper describes a system capable of classifying stochastic self-affine nonstationary signals produced by nonlinear systems. The classification and the analysis of these signals are important because these are generated by many real-world processes. The first stage of the signal classification process entails the transformation of the signal into the(More)
Graphical Epitome Processing Vincent Cheung Doctor of Philosophy Graduate Department of Electrical and Computer Engineering University of Toronto 2013 This thesis introduces principled, broadly applicable, and efficient patch-based models for data processing applications. Recently, “epitomes” were introduced as patch-based probability models that are(More)
Nowadays distributed systems are becoming more and more popular in the provision of enriched information to the increasingly demanding users Yet many communication obstacles hinder the expansion of distributed systems First the use of rewalls has become the barricades for many di erent commu nication protocols CORBA IIOP is one good example Another problem(More)
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