المؤلفون: Andrea Garzelli, L. Capobianco, Gustavo Camps-Valls

المصدر: IEEE transactions on geoscience and remote sensing 47 (2009): 3822–3833. doi:10.1109/TGRS.2009.2020910
info:cnr-pdr/source/autori:L. Capobianco; A. Garzelli; G. Camps-Valls/titolo:Target Detection with Semisupervised Kernel Orthogonal Subspace Projection/doi:10.1109%2FTGRS.2009.2020910/rivista:IEEE transactions on geoscience and remote sensing/anno:2009/pagina_da:3822/pagina_a:3833/intervallo_pagine:3822–3833/volume:47

مصطلحات موضوعية: Graph, kernel method (KM), kernel orthogonal subspace projection (KOSP), manifold learning, regularization, semisupervised learning (SSL), target detection, business.industry, Matched filter, Nonlinear dimensionality reduction, Pattern recognition, Incomplete Cholesky factorization, Object detection, Kernel method, Kernel (image processing), Variable kernel density estimation, Robustness (computer science), General Earth and Planetary Sciences, Artificial intelligence, Electrical and Electronic Engineering, business, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6dfa16b11d5b5f1f903f18f9f512238
http://hdl.handle.net/11365/24583