?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F391%2F&rft.title=SVM-based+Classification+Approach+for+Synthetic-Impulse+Microwave+Imaging%E2%80%93SVM+Input+Data&rft.creator=Viani%2C+Federico&rft.creator=Benedetti%2C+Manuel&rft.creator=Donelli%2C+Massimo&rft.creator=Lizzi%2C+Leonardo&rft.creator=Cresp%2C+A.&rft.creator=Aliferis%2C+I.&rft.creator=Pichot%2C+C.&rft.creator=Massa%2C+A.&rft.subject=TU+Technical+Reports+and+Publications&rft.description=In+the+last+years%2C+the+learning+methodology+has+been+inspired+by+theory+of+statistical+learning+leading+up+to+solutions+with+good+performance+and+firm+mathematical+properties.+In+this+framework%2C+the+theory+of+support+vector+machine+(SVM)+is+based+on+the+interaction+between+optimization+theory+and+kernel+theory+%5BVapnik+1999%5D.+Recently%2C+widely+used+machine+learning+algorithms+have+been+successfully+applied+in+the+framework+of+wireless+communication+problems+%5BGarcia+2006%5D+and+inverse+scattering+problems+%5BRekanos+2002%5D%5BMassa+2005%5D+in+order+to+exploit+their+generalization+capabilities+and+real-time+characteristics.+Moreover%2C+when+a+close+solution+to+the+problem+at+hand+does+not+exist%2C+SVM+appears+to+be+a+good+candidate+to+solve+the+optimization+problem+with+a+trial+and+error+approach.+As+for+the+Synthetic-Impulse+Microwave+Imaging+System+(SIMIS)+developed+at+LEAT%2C+the+learning+methodology+adopted+for+the+detection+of+target+position+can+be+considered+a+supervised+learning+since+it+exploits+input%2Foutput+examples+that+are+referred+to+as+the+training+data.+When+an+underlying+function+from+inputs+to+outputs+exists%2C+it+is+referred+to+as+the+target+function.+In+the+framework+of+classification+theory%2C+this+function+is+called+decision+function+and+gives+binary+outputs+if+a+binary+classification+problem+is+dealt+with%2C+otherwise+it+gives+a+finite+number+of+categories+for+multi-class+classification.+The+computational+time+saving+provided+by+an+online+binary+classification+approach+justifies+some+limitations+like+the+qualitative+reconstruction+of+the+object+position+instead+of+the+quantitative+estimation+of+the+electromagnetic+properties.+Within+the+integration+of+a+SVM+classifier+and+the+SIMIS+for+objects+detection+and+more+in+general+for+the+reconstruction+of+the+invetigation+area%2C+the+main+goal+consists+in+the+definition+of+a+risk+map+of+the+presence+of+the+targets.&rft.date=2008-10&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F391%2F1%2FDISI-08-059.pdf&rft.identifier=++Viani%2C+Federico+and+Benedetti%2C+Manuel+and+Donelli%2C+Massimo+and+Lizzi%2C+Leonardo+and+Cresp%2C+A.+and+Aliferis%2C+I.+and+Pichot%2C+C.+and+Massa%2C+A.++(2008)+SVM-based+Classification+Approach+for+Synthetic-Impulse+Microwave+Imaging%E2%80%93SVM+Input+Data.++%5BTechnical+Report%5D++++(Unpublished)++