Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing

Literals

dcterms:publisher
- International Geoscience and Remote Sensing Symposium (IGARSS)
fabio:hasPublicationYear
- 2019
bibo:doi
- 10.1109/igarss.2019.8899343
dcterms:contributor
- Su, Y., Li, J., Qi, H., Gamba, P., Plaza, A., Plaza, J.
dcterms:creator
- Su Y.
ou:bibtex
- @article{Plaza2019,title = {Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing},journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},year = {2019},pages = {2127-2130},author = {Su, Y. and Li, J. and Qi, H. and Gamba, P. and Plaza, A. and Plaza, J.}}
ou:eid
- 2-s2.0-85077718879
vivo:identifier
- 2019-959
bibo:isbn
- 9781538691540
bibo:page_range
- 2127-2130
ou:tipoPublicacion
- Conference Paper
dcterms:title
- Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077718879&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85077718879&partnerID=MN8TOARS
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077718879&origin=inward
ou:vecesCitado
- 9