?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F571%2F&rft.title=Kernels+Evaluation+of+Svm-Based+Estimators+for+Inverse+Scattering+Problems&rft.creator=Bermani%2C+Emanuela&rft.creator=Boni%2C+Andrea&rft.creator=Kerhet%2C+Aliaksei&rft.creator=Massa%2C+Andrea&rft.subject=TU+Technical+Reports+and+Publications&rft.description=Buried+object+detection+by+means+of+microwave-based+sensing+techniques+is+faced+in+biomedical+imaging%2C+mine+detection+etc.+Whereas+conventional+methods+used+for+such+a+problem+consist+in+solving+nonlinear+integral+equations%2C+this+work+considers+a+recently+proposed+approach+based+on+Support+Vector+Machines%2C+the+techniques+that+proved+to+be+theoretically+justi%3Fed+and+effective+in+real+world+domains.+Simulation+is+carried+out+on+synthetic+data+generated+by+Finite+Element+code+and+a+PML+technique%3B+noisy+environments+are+considered+as+well.+Results+obtained+for+cases+of+polynomial+and+Gaussian+kernels+are+presented+and+discussed.&rft.date=2004&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F571%2F1%2Freport_with_copertina.pdf&rft.identifier=++Bermani%2C+Emanuela+and+Boni%2C+Andrea+and+Kerhet%2C+Aliaksei+and+Massa%2C+Andrea++(2004)+Kernels+Evaluation+of+Svm-Based+Estimators+for+Inverse+Scattering+Problems.++%5BTechnical+Report%5D+++++