Abstract: Hyperspectral unmixing is significant for advancing remote sensing (RS) applications, aiming at extracting the spectra of pure materials (called endmembers) and obtaining their proportions ...
The final, formatted version of the article will be published soon. Background: The recognition and prevention of plant diseases is very important to the growth process. At present, neural networks ...
Abstract: Incomplete multi-view clustering (IMC) has received increasing attention since missing observations of views are common in real-world applications. Existing approaches often learn similarity ...