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Mohamed Ismail and Milica Orlandic
Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed. The proposed four-step classification scheme exp...
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Stefan Klus and Patrick Gelß
Interest in machine learning with tensor networks has been growing rapidly in recent years. We show that tensor-based methods developed for learning the governing equations of dynamical systems from data can, in the same way, be used for supervised learn...
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Boris Kovalerchuk and Dmytro Dovhalets
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the lo...
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Pattichis, M.S.; Bovik, A.C.
Pág. 753 - 766
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Fang, Q.; Meaney, P.M.; Paulsen, K.D.
Pág. 3311 - 3324
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