Machine Learning and Data Mining in Pattern Recognition
4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings (Lecture Notes in Computer Science)
by Petra Perner and Atsushi Imiya
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This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
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Computer vision, Computer science, Database management, Optical pattern recognition, Information storage and retrieval systems, Artificial intelligence, Pattern perception, Machine learning, Data mining, Image processing, Pattern recognition systems, Congresses, Artificial Intelligence (incl. Robotics), Computer software, Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity, NonfictionShowing 12 featured editions. View all 12 editions?
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"Nowadays, architectures for wireless communication are mostly based on single-hop cellular networks, e.g., the Global System for Mobile communications (GSM) [1]. "
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