Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks
Ishii, Naohiro, Iwata, Kazunori, Odagiri, Kazuya, Nakashima, Toyoshiro, Matsuo, Tokuro
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
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Book Chapter
Image Fusion Based on Deep Learning Xiao-Jun Wu Department of Computer Science and Technology, School of IoT Engineering, Jiangnan University, China wu_xiaojun@jiangnan.edu.cn Abstract. Deep learning (DL) has found very successful applications in numerous different domains with impressive results. Image fusion (IMF) algorithms based on DL and their applications will be presented thoroughly in this keynote lecture. Initially, a brief introductory overview of both concepts will be given. Then, IMF
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
(2020)
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Book Chapter
EANN 2020 Preface
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
(2020)
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Book Chapter
The Rise of Artificial Intelligence for Earth Observation (AI4EO) Pierre Philippe Mathieu European Space Agency (ESA) Head of the Philab (Φ Lab) Explore Office at the European Space Agency in ESRIN (Frascati, Italy) Pierre.Philippe.Mathieu@esa.int
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
(2020)
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Book Chapter
Organization
Published in Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
(2020)
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Book Chapter