2024-03-28T08:27:40Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/2116902020-05-21T01:11:21Zcom_10261_93com_10261_4col_10261_472
2020-05-20T08:42:18Z
urn:hdl:10261/211690
Decoupling Global Features by Imposing Orthogonality on the Gradients: Analysis , Synthesis and Signal Processing
Portilla, Javier
MSDA, Prague CZ, 25 - 26 November 2019. -- http://naridv.cas.cz/msda-workshop. -- Conferencia invitada
Sets of features having mutually orthogonal gradients (i.e., orthofeature sets) have remarkable properties that make them very different from statistical-based methods, and that can be exploited for a wide range of problems. So far we have demonstrated their application to data analysis (mainly texture classification and statistical regression), but lately we are exploring also its potential in signal processing and synthesis.
2020-05-20T08:42:18Z
2020-05-20T08:42:18Z
2019-11-25
2020-05-20T08:42:18Z
comunicación de congreso
Multi-Source Data Analysis Workshop (2019)
http://hdl.handle.net/10261/211690
SÃ
openAccess