{\rtf1\ansi\deff0\deftab360 {\fonttbl {\f0\fswiss\fcharset0 Arial} {\f1\froman\fcharset0 Times New Roman} {\f2\fswiss\fcharset0 Verdana} {\f3\froman\fcharset2 Symbol} } {\colortbl; \red0\green0\blue0; } {\info {\author Biblio 7.x}{\operator }{\title Biblio RTF Export}} \f1\fs24 \paperw11907\paperh16839 \pgncont\pgndec\pgnstarts1\pgnrestart Jehle, M, Sommer, C and J\'e4hne, B (2010). Learning of Optimal Illumination for Material Classification. Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany. Springer. 563-572\par \par Schellewald, C, Roth, S and Schn\'f6rr, C (2007). Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vision Comp. 25 1301--1314\par \par Schellewald, C, Roth, S and Schn\'f6rr, C (2007). Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vision Comp. 25 1301?1314\par \par Schellewald, C, Roth, S and Schn\'f6rr, C (2002). Performance Evaluation Of A Convex Relaxation Approach To The Quadratic Assignment Of Relational Object Views. Dept. Math. and Comp. Science, University of Mannheim, Germany\par \par Schellewald, C, Roth, S and Schn\'f6rr, C (2001). Application Of Convex Optimization Techniques To The Relational Matching Of Object Views. Dept. Math. and Comp. Science, University of Mannheim, Germany\par \par Schellewald, C, Roth, S and Schn\'f6rr, C (2001). Evaluation of Convex Optimization Techniques for the Weighted Graph?Matching Problem in Computer Vision. Mustererkennung 2001. Springer, Munich, Germany. 2191 361?368\par \par }