The high cost of data annotation has become a major factor restricting the hyperspectral image (HSI) classification task. To address this issue, domain adaptation (DA) techniques have been developed ...

Hyperspectral image (HSI) classification holds significant application value in precision agriculture, environmental monitoring, and other fields. However, the high cost of large-scale labeling limits ...

Since then, ECCC has refined its approach for the ERC, which led to the creation of this second version (ERC2). This Science Approach Document presents the ERC2 approach and the results of its ...

for one-shot learning, the existing metric learning approaches would suffer poor performance because the single training image may not be representative of the class. For example, if the image is far ...

In this paper, the Conceptual Space Theory, the Granular Computing approach and Machine Learning are bound in a novel common framework for solving some text categorization tasks with both standard ...