?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F409%2F&rft.title=A+Multi-Source+Strategy+based+on+a+Learning-by-Examples+Technique+for+Buried+Object+Detection&rft.creator=Bermani%2C+Emanuela&rft.creator=Boni%2C+Andrea&rft.creator=Caorsi%2C+Salvatore&rft.creator=Donelli%2C+Massimo&rft.creator=Massa%2C+Andrea&rft.subject=TU+Technical+Reports+and+Publications&rft.description=In+the+framework+of+buried+object+detection+and+subsurface+sensing%2C+some+of+the+main+difficulties+in+the+reconstruction+process+are+certainly+due+to+the+aspect-limited+nature+of+available+measurement+data+and+to+the+requirement+of+an+on-line+reconstruction.+To+limit+these+problems%2C+a+multi-source+(MS)+learning-by-example+(LBE)+technique+is+proposed+in+this+paper.+In+order+to+fully+exploit+the+more+attractive+features+of+the+MS+strategy%2C+the+proposed+approach+is+based+on+a+support+vector+machine+(SVM).+The+effectiveness+of+the+MS-LBE+technique+is+evaluated+by+comparing+the+achieved+results+with+those+obtained+by+means+of+a+previously+developed+single-source+(SS)+SVM-based+procedure+for+an+ideal+as+well+as+a+noisy+enviroment.&rft.date=2004-08&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F409%2F1%2FDIT-04-067.pdf&rft.identifier=++Bermani%2C+Emanuela+and+Boni%2C+Andrea+and+Caorsi%2C+Salvatore+and+Donelli%2C+Massimo+and+Massa%2C+Andrea++(2004)+A+Multi-Source+Strategy+based+on+a+Learning-by-Examples+Technique+for+Buried+Object+Detection.++%5BTechnical+Report%5D++++(In+Press)++