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Titlebook: Leben und Form; Zur technischen Form Mathias Gutmann Book 2017 Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert an Springer

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Evolutionsbiologie und Evolutionstheorieür . stehen. Bezüglich der – in diesem Fall objektsprachlichen – biologischen Aussagen über die benannten Gegenstände wie Aves, Reptilia oder Hemichordata fungieren evolutionsbiologische . da sie sich auf die Transformation des Gegenstandes beziehen; die biologische Strukturierung von Reptilien, Vögeln oder Chordaten wird also vorausgesetzt.
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se textural variations of benign and malignant liver lesions, texture features are computed using statistical methods, signal processing based methods and transform domain methods. As an application of texture description in medical domain, an efficient CAD system for primary benign i.e., hemangioma
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Mathias Gutmannse textural variations of benign and malignant liver lesions, texture features are computed using statistical methods, signal processing based methods and transform domain methods. As an application of texture description in medical domain, an efficient CAD system for primary benign i.e., hemangioma
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Mathias Gutmannservational radio astronomy. Unfortunately, until very recently, our map-making capability has been extremely restricted, limited in fact to those physical baselines and frequencies where phase-stable interferometers could be operated. However it is now becoming increasingly clear that phase stabili
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Mathias Gutmannservational radio astronomy. Unfortunately, until very recently, our map-making capability has been extremely restricted, limited in fact to those physical baselines and frequencies where phase-stable interferometers could be operated. However it is now becoming increasingly clear that phase stabili
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Mathias Gutmannduring the period 10-12 August 1978. The colloquium was attended by 108 participants from 14 countries (U.S.A. 29, the Netherlands 20, U.K. 19, Germany 10, France 7, Australia 5, Canada 5, Japan 4, India 2, New Zea­ land 2, Sweden 2, Argentina I, Belgium I, Israel I). It was sponsored by the Netherl
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Mathias Gutmannking. In addition, in computer vision, it is quite common to fuse information acquired in different spectral ranges, focusing, and lighting conditions to know more details of a particular scene. Hence, image fusion using machine learning especially deep learning would be a hot research topic in upco
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