Titlebook: Leben nach dem Herzeingriff; Kerstin Bauer,Jürgen Ennker,Stefan Bauer Book 2011 Springer-Verlag Berlin Heidelberg 2011

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Kerstin Bauer,Jürgen Ennker,Stefan Bauers (PDX). The overarching objective of the work is to develop an automated methodology to detect and segment tumors in PDX for subsequent analyses. Automated segmentation also has the benefit that it will minimize user bias. A hybrid method combining fast k-means, morphology, and level set is used to

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Kerstin Bauer,Jürgen Ennker,Stefan Bauercase of a small training data set, however, LDE cannot directly be applied to high-dimensional data. This case is the so-called small-sample-size (SSS) problem. In this paper, we introduce an Exponential Local Discriminant Embedding (ELDE) technique to overcome the SSS problem. The advantages of ELD

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Kerstin Bauer,Jürgen Ennker,Stefan Baueruse of DNN is still impeded, if the input data is imbalanced. Imbalanced classification refers to the problem that one class contains a much smaller number of samples than the others in classification. It poses a great challenge to existing classifiers including DNN, due to the difficulty in recogni

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h therapy, synthesis and interaction. Several technologies have been considered to study static and dynamic features of the articulators and speech motor control, such as electromagnetic articulography (EMA), real-time magnetic resonance (RTMRI) and ultrasound (US) imaging. While the latest advances

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ACME