%PDF-1.4 5 0 obj << /S /GoTo /D (section.1) >> endobj 8 0 obj (Introduction) endobj 9 0 obj << /S /GoTo /D (section.2) >> endobj 12 0 obj (Method) endobj 13 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 16 0 obj (Non-Negative Matrix Factorisation) endobj 17 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 20 0 obj (Dendritic Inhibition Neural Network) endobj 21 0 obj << /S /GoTo /D (section.3) >> endobj 24 0 obj (Results) endobj 25 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 28 0 obj (Standard Bars Problem) endobj 29 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 32 0 obj (Bars Problems Without Occlusion) endobj 33 0 obj << /S /GoTo /D (subsection.3.3) >> endobj 36 0 obj (Bars Problem With More Occlusion) endobj 37 0 obj << /S /GoTo /D (subsection.3.4) >> endobj 40 0 obj (Bars Problem with Unequal Components) endobj 41 0 obj << /S /GoTo /D (subsection.3.5) >> endobj 44 0 obj (Face Images) endobj 45 0 obj << /S /GoTo /D (section.4) >> endobj 48 0 obj (Discussion) endobj 49 0 obj << /S /GoTo /D (section.5) >> endobj 52 0 obj (Conclusions) endobj 53 0 obj << /S /GoTo /D [54 0 R /FitH ] >> endobj 56 0 obj << /Length 4593 /Filter /FlateDecode >> stream xڽ˒_[Um(>$VI&lf{sPnelɑPoT*ՇH&M6ɣ,Oś'gQht"n@Շ><ʍ|x$yʼnڤt//MUv#_>_٢ꉾ~w';n o~[6Q%pifEdBsW&b#T$;4@\8,Xyw*ǟԧs]٪kIǯnoSUve] tEktc&HG4wyBh1䟖e& 6k'?zzGz UW.ڭڌdQx2,D*|%s2 Z aX,i?Cϱ> #3U||>3>:S1ZGRL,~av7v Z`ݝ$YK`zoڮ)@3♎Yebm? !^1Ppx`G8 ;p,`Qqj:TtqonFf