Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches
Today we are faced with impressive progress in machine learning and artificial intelligence. This not only applies to autonomous driving for car manufacturers but also to Earth observation, where we need reliable and efficient techniques for the automated
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Hamid R. Arabnia · Kevin Daimi Robert Stahlbock · Cristina Soviany Leonard Heilig · Kai Brüssau Editors
Principles of Data Science
Transactions on Computational Science and Computational Intelligence Series Editor Hamid Arabnia Department of Computer Science The University of Georgia Athens, Georgia USA
Computational Science (CS) and Computational Intelligence (CI) both share the same objective: finding solutions to difficult problems. However, the methods to the solutions are different. The main objective of this book series, “Transactions on Computational Science and Computational Intelligence”, is to facilitate increased opportunities for cross-fertilization across CS and CI. This book series will publish monographs, professional books, contributed volumes, and textbooks in Computational Science and Computational Intelligence. Book proposals are solicited for consideration in all topics in CS and CI including, but not limited to, Pattern recognition applications; Machine vision; Brain-machine interface; Embodied robotics; Biometrics; Computational biology; Bioinformatics; Image and signal processing; Information mining and forecasting; Sensor networks; Information processing; Internet and multimedia; DNA computing; Machine learning applications; Multiagent systems applications; Telecommunications; Transportation systems; Intrusion detection and fault diagnosis; Game technologies; Material sciences; Space, weather, climate systems, and global changes; Computational ocean and earth sciences; Combustion system simulation; Computational chemistry and biochemistry; Computational physics; Medical applications; Transportation systems and simulations; Structural engineering; Computational electro-magnetic; Computer graphics and multimedia; Face recognition; Semiconductor technology, electronic circuits, and system design; Dynamic systems; Computational finance; Information mining and applications; Astrophysics; Biometric modeling; Geology and geophysics; Nuclear physics; Computational journalism; Geographical Information Systems (GIS) and remote sensing; Military and defense related applications; Ubiquitous computing; Virtual reality; Agent-based modeling; Computational psychometrics; Affective computing; Computational economics; Computational statistics; and Emerging applications. For further information, please contact Mary James, Senior Editor, Springer, [email protected].
More information about this series at http://www.springer.com/series/11769
Hamid R. Arabnia • Kevin Daimi • Robert Stahlbock Cristina Soviany • Leonard Heilig • Kai Br¨ussau Editors
Principles of Data Science
Editors Hamid R. Arabnia University of Georgia Athens, GA, USA
Kevin Daimi University of Detroit Mercy Detroit, MI, USA
Robert Stahlbock University of Hamburg Hamburg, Hamburg, Germany
Cristina Soviany Features Analytics Nivelles, Belgium
Leonard Heilig University of Hamburg Hamburg, Hamburg, Germany
Kai Br¨ussau University of Hamburg Hamburg, Hamburg, Germany
ISSN 2569-7072 ISSN 2569-7080 (electronic) Transactions on Co
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