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Signal Processing and Machine Learning with Applications (英語) ハードカバー – 2021/3/13
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Prof. Michael M. Richter completed his PhD on mathematical logic at the University of Freiburg, and his Habilitation in mathematics at the University of Tübingen. He taught at the University of Texas at Austin and at RWTH Aachen, in addition to numerous visiting professorships. Most recently he held a chair in computer science at the University of Kaiserslautern, where he was also the founding scientific director of the DFKI (German Research Center for Artificial Intelligence). He is currently an adjunct professor at the University of Calgary. He has taught, researched, and published extensively in the areas of mathematical logic and artificial intelligence. Prof. Richter is one of the pioneers of case-based reasoning: he founded the leading European event on the subject, he led many of the key academic research projects, and he demonstrated the real-world viability of the approach with successful commercial products.
Dr. Sheuli Paul earned her PhD in electrical and computer engineering in the area of signal processing and machine learning from Kaiserslautern, Germany. She has been engaged in applied research and development in signal and image processing, artificial intelligence especially in the area of speech recognition, machine learning, visual data mining and computer vision. She is a defence scientist in autonomous robotics and human-robot interaction in the autonomous section of Defence Research and Development Canada, a Canadian government agency.