{\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 Heiler, M and Schn\'f6rr, C (2006). Controlling Sparseness in Non-negative Tensor Factorization. Computer Vision -- ECCV 2006. Springer. 3951 56-67\par \par Heiler, M and Schn\'f6rr, C (2006). Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. J. Mach. Learning Res. 7 1385?1407. http://www.cvgpr.uni-mannheim.de/Publications\par \par Heiler, M and Schn\'f6rr, C (2005). Learning Sparse Image Codes by Convex Programming. Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV'05). Beijing, China. 1667-1674\par \par Heiler, M and Schn\'f6rr, C (2005). Natural Image Statistics for Natural Image Segmentation. Int. J. Comp. Vision. 63 5?19\par \par Heiler, M and Schn\'f6rr, C (2005). Reverse-Convex Programming for Sparse Image Codes. Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 600-616\par \par Heiler, M, Keuchel, J and Schn\'f6rr, C (2005). Semidefinite Clustering for Image Segmentation with A-priori Knowledge. Pattern Recognition, Proc. 27th DAGM Symposium. Springer. 3663 309?317\par \par Keuchel, J, Heiler, M and Schn\'f6rr, C (2004). Hierarchical Image Segmentation based on Semidefinite Programming. Pattern Recognition, Proc. 26th DAGM Symposium. Springer. 3175 120-128\par \par Heiler, M and Schn\'f6rr, C (2003). Natural Statistics for Natural Image Segmentation. Proc. IEEE Int. Conf. Computer Vision (ICCV 2003). Nice, France. 1259-1266\par \par Keuchel, J, Naumann, S, Heiler, M and Siegmund, A (2002). Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data. Remote Sensing of Environment\par \par Heiler, M, Cremers, D and Schn\'f6rr, C (2001). Efficient Feature Subset Selection For Support Vector Machines. Dept. Math. and Comp. Science, University of Mannheim, Germany\par \par }