- RUB
- INI
- Alumni Research Groups
- Organic Computing
Organic Computing
In Memoria Rolf Würtz
We mourn the loss of Rolf Würtz, our colleague and friend, who directed the research group Organic Computing at the INI. Early on Saturday, December 1, 2018, Rolf succumbed to an intense illness that cut his life short.
Rolf had been a member of the INI for over two decades. He studied mathematics in Heidelberg, spent two years at the Max Planck Institut for Brain Research in Frankfurt before joining the INI in 1990, where he obtained his doctorate in Physics under the guidance of Professor von der Malsburg. After a two-year postdoc at the Department of Computer Science of the University of Groningen, he re-joined the INI as a faculty member in 1997. Rolf was a Privatdozent of the Faculty of Electrical Engineering and Information Technology, a faculty member of the International Graduate School of Neuroscience (IGSN) at RUB, and a driving force behind the inter-faculty degree program Angewandte Informatik (AI).
Rolf’s research focused on neural methods in computer vision, in particular, for object and face recognition. He was also interested in more general questions of self-organization in distributed intelligent systems and engaged in applying neurally inspired technology in collaboration with medical researchers and with partners from industry.
Rolf was a very engaged teacher, whose course on Artificial Neural Networks was the entry portal to neural computation for students from many different degree programs. He supervised a record number of Master- and Bachelor thesis projects, organized study projects, and taught two seminars every semester that provided the first contact with original research publications for many students.
Rolf’s unhesitating willingness to take on responsibility made him a much sought after member of committees. He supported the administration of the INI as deputy director, was an engaged member of the study commission of the IGSN, and played an important role in managing the AI program.
We will miss Rolf intensely. Our thoughts go to his family.
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Self-improving System Integration – Status and Challenges After Five Years of SISSYBellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., et al.In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 160–167)
@inproceedings{BellmanBotevDiaconescuEtAl2018, author = {Bellman, Kirstie and Botev, Jean and Diaconescu, Ada and Esterle, Lukas and Gruhl, Christian and Landauer, Chris and Lewis, Peter R. and Stein, Anthony and Tomforde, Sven and Würtz, Rolf P.}, title = {Self-improving System Integration – Status and Challenges After Five Years of SISSY}, booktitle = {Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems}, pages = {160–167}, year = {2018}, }
Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., et al. (2018). Self-improving System Integration – Status and Challenges After Five Years of SISSY. In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 160–167).Organic Face Graph ClassificationNilkens, A.In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, pp. 79–92) kassel university press GmbH@inproceedings{Nilkens2018, author = {Nilkens, Andreas}, title = {Organic Face Graph Classification}, booktitle = {Organic Computing: Doctoral Dissertation Colloquium 2017}, editor = {Tomforde, Sven and Sick, Bernhard}, pages = {79–92}, publisher = {kassel university press GmbH}, volume = {11}, year = {2018}, }
Nilkens, A. (2018). Organic Face Graph Classification. In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, pp. 79–92). kassel university press GmbH.Unsupervised Acquisition of Human Body ModelsWalther, T., & Würtz, R. P.Cognitive Systems Research, 47, 68–84@article{WaltherWürtz2018, author = {Walther, Thomas and Würtz, Rolf P.}, title = {Unsupervised Acquisition of Human Body Models}, journal = {Cognitive Systems Research}, volume = {47}, pages = {68–84}, year = {2018}, doi = {10.1016/j.cogsys.2017.08.001}, }
Walther, T., & Würtz, R. P.. (2018). Unsupervised Acquisition of Human Body Models. Cognitive Systems Research, 47, 68–84. http://doi.org/10.1016/j.cogsys.2017.08.001Interactive Learning Without Ground TruthWürtz, R. P., Tomforde, S., Calma, A., Kottke, D., & Sick, B.In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, p. II.1–II.4) kassel university press GmbH@inproceedings{WürtzTomfordeCalmaEtAl2018, author = {Würtz, Rolf P. and Tomforde, Sven and Calma, Adrian and Kottke, Daniel and Sick, Bernhard}, title = {Interactive Learning Without Ground Truth}, booktitle = {Organic Computing: Doctoral Dissertation Colloquium 2017}, editor = {Tomforde, Sven and Sick, Bernhard}, pages = {II.1–II.4}, publisher = {kassel university press GmbH}, volume = {11}, year = {2018}, }
Würtz, R. P., Tomforde, S., Calma, A., Kottke, D., & Sick, B. (2018). Interactive Learning Without Ground Truth. In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, p. II.1–II.4). kassel university press GmbH.2017
Unsupervised Acquisition of Human Body Models using Principles of Organic ComputingWalther, T., & Würtz, R. P.ArXiv e-prints@article{WaltherWürtz2017, author = {Walther, Thomas and Würtz, Rolf P.}, title = {Unsupervised Acquisition of Human Body Models using Principles of Organic Computing}, journal = {ArXiv e-prints}, month = {April}, year = {2017}, }
Walther, T., & Würtz, R. P.. (2017). Unsupervised Acquisition of Human Body Models using Principles of Organic Computing. ArXiv e-prints. Retrieved from http://arxiv.org/abs/1704.03724Cue Integration by Similarity Rank List Coding — Application to Invariant Object RecognitionGrieben, R., & Würtz, R. P.In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 132–137)@inproceedings{GriebenWürtz2017, author = {Grieben, Raul and Würtz, Rolf P.}, title = {Cue Integration by Similarity Rank List Coding — Application to Invariant Object Recognition}, booktitle = {Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems}, pages = {132–137}, year = {2017}, doi = {10.1109/FAS*W.2017.38}, }
Grieben, R., & Würtz, R. P.. (2017). Cue Integration by Similarity Rank List Coding — Application to Invariant Object Recognition. In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 132–137). http://doi.org/10.1109/FAS*W.2017.382016
Phase based forgery detection of JPEG anti forensicsFahmy, G., & Wurtz, R.In Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on (pp. 144–149) IEEE@inproceedings{FahmyWurtz2016, author = {Fahmy, Gamal and Wurtz, Rolf}, title = {Phase based forgery detection of JPEG anti forensics}, booktitle = {Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on}, pages = {144–149}, organization = {IEEE}, year = {2016}, }
Fahmy, G., & Wurtz, R.. (2016). Phase based forgery detection of JPEG anti forensics. In Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on (pp. 144–149). IEEE."Self-Improving System Integration" – Preface for the SISSY′16 WorkshopTomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.In Proc. ICAC (p. 275)@inproceedings{TomfordeRudolphBellmanEtAl2016, author = {Tomforde, Sven and Rudolph, Stefan and Bellman, Kirstie and Würtz, Rolf P.}, title = {"Self-Improving System Integration" – Preface for the SISSY′16 Workshop}, booktitle = {Proc. ICAC}, pages = {275}, year = {2016}, doi = {10.1109/ICAC.2016.74}, }
Tomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.. (2016). "Self-Improving System Integration" – Preface for the SISSY′16 Workshop. In Proc. ICAC (p. 275). http://doi.org/10.1109/ICAC.2016.74An Organic Computing Perspective on Self-Improving System Interweaving at RuntimeTomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.In Proc. ICAC (pp. 276–284)@inproceedings{TomfordeRudolphBellmanEtAl2016b, author = {Tomforde, Sven and Rudolph, Stefan and Bellman, Kirstie and Würtz, Rolf P.}, title = {An Organic Computing Perspective on Self-Improving System Interweaving at Runtime}, booktitle = {Proc. ICAC}, pages = {276–284}, year = {2016}, doi = {10.1109/ICAC.2016.15}, }
Tomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.. (2016). An Organic Computing Perspective on Self-Improving System Interweaving at Runtime. In Proc. ICAC (pp. 276–284). http://doi.org/10.1109/ICAC.2016.152015
Phase based detection of JPEG counter forensicsFahmy, G., Alqallaf, A., & Wurtz, R.In 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 37–40)@inproceedings{FahmyAlqallafWurtz2015, author = {Fahmy, G. and Alqallaf, A. and Wurtz, R.}, title = {Phase based detection of JPEG counter forensics}, booktitle = {2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)}, pages = {37–40}, month = {December}, year = {2015}, doi = {10.1109/ICECS.2015.7440243}, }
Fahmy, G., Alqallaf, A., & Wurtz, R.. (2015). Phase based detection of JPEG counter forensics. In 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 37–40). http://doi.org/10.1109/ICECS.2015.7440243A smartphone-controlled autonomous robotBodenstein, C., Tremer, M., Overhoff, J., & Würtz, R. P.In Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, Aug. 15-17 (pp. 2360–2367)@inproceedings{BodensteinTremerOverhoffEtAl2015, author = {Bodenstein, Christian and Tremer, Michael and Overhoff, Jonathan and Würtz, Rolf P.}, title = {A smartphone-controlled autonomous robot}, booktitle = {Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, Aug. 15-17}, pages = {2360–2367}, year = {2015}, doi = {10.1109/FSKD.2015.7382314}, }
Bodenstein, C., Tremer, M., Overhoff, J., & Würtz, R. P.. (2015). A smartphone-controlled autonomous robot. In Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, Aug. 15-17 (pp. 2360–2367). http://doi.org/10.1109/FSKD.2015.7382314Reconstruction of Images from Gabor Graphs with Applications in Facial Image ProcessingGünther, M., Böhringer, S., Wieczorek, D., & Würtz, R. P.International Journal of Wavelets, Multiresolution and Information Processing, 13(4), 1550019-1–25@article{GüntherBöhringerWieczorekEtAl2015, author = {Günther, Manuel and Böhringer, Stefan and Wieczorek, Dagmar and Würtz, Rolf P.}, title = {Reconstruction of Images from Gabor Graphs with Applications in Facial Image Processing}, journal = {International Journal of Wavelets, Multiresolution and Information Processing}, volume = {13}, number = {4}, pages = {1550019-1–25}, year = {2015}, doi = {10.1142/S0219691315500198}, }
Günther, M., Böhringer, S., Wieczorek, D., & Würtz, R. P.. (2015). Reconstruction of Images from Gabor Graphs with Applications in Facial Image Processing. International Journal of Wavelets, Multiresolution and Information Processing, 13(4), 1550019-1–25. http://doi.org/10.1142/S0219691315500198Automatic face classification in Cushing′s syndrome and acromegaly: Review, current results and future perspectivesKosilek, R. P., Frohner, R., Würtz, R. P., Berr, C. M., Schopohl, J., Reincke, M., & Schneider, H. J.European Journal of Endocrinology, 173(4), M39–M44@article{KosilekFrohnerWürtzEtAl2015, author = {Kosilek, R.P. and Frohner, R. and Würtz, R.P. and Berr, C.M. and Schopohl, J. and Reincke, M. and Schneider, H. J.}, title = {Automatic face classification in Cushing′s syndrome and acromegaly: Review, current results and future perspectives}, journal = {European Journal of Endocrinology}, volume = {173}, number = {4}, pages = {M39–M44}, year = {2015}, doi = {10.1530/EJE-15-0429}, }
Kosilek, R. P., Frohner, R., Würtz, R. P., Berr, C. M., Schopohl, J., Reincke, M., & Schneider, H. J. (2015). Automatic face classification in Cushing′s syndrome and acromegaly: Review, current results and future perspectives. European Journal of Endocrinology, 173(4), M39–M44. http://doi.org/10.1530/EJE-15-04292014
Classification and visualization based on derived image features: application to genetic syndromesBalliu, B., Würtz, R. P., Horsthemke, B., Wieczorek, D., & Böhringer, S.PLOS One, 9(11), e109033@article{BalliuWürtzHorsthemkeEtAl2014, author = {Balliu, Brunilda and Würtz, Rolf P. and Horsthemke, Bernhard and Wieczorek, Dagmar and Böhringer, Stefan}, title = {Classification and visualization based on derived image features: application to genetic syndromes}, journal = {PLOS One}, volume = {9}, number = {11}, pages = {e109033}, year = {2014}, doi = {10.1371/journal.pone.0109033}, }
Balliu, B., Würtz, R. P., Horsthemke, B., Wieczorek, D., & Böhringer, S. (2014). Classification and visualization based on derived image features: application to genetic syndromes. PLOS One, 9(11), e109033. http://doi.org/10.1371/journal.pone.0109033"Self-Improving System Integration" – Preface for the SISSY14 WorkshopBellman, K., Tomforde, S., & Würtz, R. P.In Proc. SASO, London (p. 122) IEEE@inproceedings{BellmanTomfordeWürtz2014, author = {Bellman, Kirstie and Tomforde, Sven and Würtz, Rolf P.}, title = {"Self-Improving System Integration" – Preface for the SISSY14 Workshop}, booktitle = {Proc. SASO, London}, pages = {122}, publisher = {IEEE}, year = {2014}, }
Bellman, K., Tomforde, S., & Würtz, R. P.. (2014). "Self-Improving System Integration" – Preface for the SISSY14 Workshop. In Proc. SASO, London (p. 122). IEEE.Interwoven Systems: Self-improving Systems IntegrationBellman, K., Tomforde, S., & Würtz, R. P.In Proc. SASO, London (pp. 123–127) IEEE@inproceedings{BellmanTomfordeWürtz2014b, author = {Bellman, Kirstie and Tomforde, Sven and Würtz, Rolf P.}, title = {Interwoven Systems: Self-improving Systems Integration}, booktitle = {Proc. SASO, London}, pages = {123–127}, publisher = {IEEE}, year = {2014}, }
Bellman, K., Tomforde, S., & Würtz, R. P.. (2014). Interwoven Systems: Self-improving Systems Integration. In Proc. SASO, London (pp. 123–127). IEEE.Spiking network simulationsKrause, T. U., Schrör, P. Y., & Würtz, R. P.In B. Hammer, Martinetz, T., & Villmann, T. (Eds.), Proceedings of New Challenges in Neural Computation, Münster (pp. 14–15)@inproceedings{KrauseSchrörWürtz2014, author = {Krause, Tim U. and Schrör, Phil Y. and Würtz, Rolf P.}, title = {Spiking network simulations}, booktitle = {Proceedings of New Challenges in Neural Computation, Münster}, editor = {Hammer, Barbara and Martinetz, Thomas and Villmann, Thomas}, pages = {14–15}, series = {Machine Learning Reports}, year = {2014}, }
Krause, T. U., Schrör, P. Y., & Würtz, R. P.. (2014). Spiking network simulations. In B. Hammer, Martinetz, T., & Villmann, T. (Eds.), Proceedings of New Challenges in Neural Computation, Münster (pp. 14–15).Learning of invariant object recognition from temporal correlation in a hierarchical networkLessmann, M., & Würtz, R. P.Neural Networks, 54, 70–84@article{LessmannWürtz2014, author = {Lessmann, Markus and Würtz, Rolf P.}, title = {Learning of invariant object recognition from temporal correlation in a hierarchical network}, journal = {Neural Networks}, volume = {54}, pages = {70–84}, year = {2014}, doi = {10.1016/j.neunet.2014.02.011}, }
Lessmann, M., & Würtz, R. P.. (2014). Learning of invariant object recognition from temporal correlation in a hierarchical network. Neural Networks, 54, 70–84. http://doi.org/10.1016/j.neunet.2014.02.011Online Learning of Invariant Object Recognition in a Hierarchical Neural NetworkLessmann, M., & Würtz, R. P.In S. Wermter, Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., et al. (Eds.), Proc. ICANN (pp. 427–434) Springer@inproceedings{LessmannWürtz2014b, author = {Lessmann, Markus and Würtz, Rolf P.}, title = {Online Learning of Invariant Object Recognition in a Hierarchical Neural Network}, booktitle = {Proc. ICANN}, editor = {Wermter, S. and Weber, C. and Duch, W. and Honkela, T. and Koprinkova-Hristova, P. and Magg, S. and Palm, G. and Villa, A.E.P.}, pages = {427–434}, publisher = {Springer}, series = {LNCS}, year = {2014}, }
Lessmann, M., & Würtz, R. P.. (2014). Online Learning of Invariant Object Recognition in a Hierarchical Neural Network. In S. Wermter, Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., et al. (Eds.), Proc. ICANN (pp. 427–434). Springer.Elastic Bunch Graph MatchingWiskott, L., Würtz, R. P., & Westphal, G.Scholarpedia, 9, 10587@article{WiskottWürtzWestphal2014, author = {Wiskott, Laurenz and Würtz, Rolf P. and Westphal, Günther}, title = {Elastic Bunch Graph Matching}, journal = {Scholarpedia}, volume = {9}, pages = {10587}, year = {2014}, doi = {10.4249/scholarpedia.10587}, }
Wiskott, L., Würtz, R. P., & Westphal, G. (2014). Elastic Bunch Graph Matching. Scholarpedia, 9, 10587. http://doi.org/10.4249/scholarpedia.105872013
Optimierung der Gesichtsklassifikation bei der Erkennung von AkromegalieFrohner, R., Würtz, R. P., Kosilek, R. P., & Schneider, H. J.Austrian Journal of Clinical Endocrinology and Metabolism, 6(3), 20–24@article{FrohnerWürtzKosilekEtAl2013, author = {Frohner, R. and Würtz, R.P. and Kosilek, R.P. and Schneider, H.J.}, title = {Optimierung der Gesichtsklassifikation bei der Erkennung von Akromegalie}, journal = {Austrian Journal of Clinical Endocrinology and Metabolism}, volume = {6}, number = {3}, pages = {20–24}, year = {2013}, }
Frohner, R., Würtz, R. P., Kosilek, R. P., & Schneider, H. J. (2013). Optimierung der Gesichtsklassifikation bei der Erkennung von Akromegalie. Austrian Journal of Clinical Endocrinology and Metabolism, 6(3), 20–24.Automatic face classification of Cushing’s syndrome in women - A novel screening approachKosilek, R. P., Schopohl, J., Grünke, M., Dimopoulou, C., Stalla, G. K., Lammert, A., et al.Experimental and Clinical Endocrinology and Diabetes@article{KosilekSchopohlGrünkeEtAl2013, author = {Kosilek, Robert P. and Schopohl, Jochen and Grünke, Matthias and Dimopoulou, Christina and Stalla, Günter K. and Lammert, Alexander and Reincke, Martin and Günther, Manuel and Würtz, Rolf P. and Schneider, Harald J.}, title = {Automatic face classification of Cushing’s syndrome in women - A novel screening approach}, journal = {Experimental and Clinical Endocrinology and Diabetes}, year = {2013}, doi = {10.1055/s-0033-1349124}, }
Kosilek, R. P., Schopohl, J., Grünke, M., Dimopoulou, C., Stalla, G. K., Lammert, A., et al. (2013). Automatic face classification of Cushing’s syndrome in women - A novel screening approach. Experimental and Clinical Endocrinology and Diabetes. http://doi.org/10.1055/s-0033-1349124Learning invariant face recognition from examplesMüller, M. K., Tremer, M., Bodenstein, C., & Würtz, R. P.Neural Networks, 41, 137–146@article{MüllerTremerBodensteinEtAl2013, author = {Müller, Marco K. and Tremer, Michael and Bodenstein, Christian and Würtz, Rolf P.}, title = {Learning invariant face recognition from examples}, journal = {Neural Networks}, volume = {41}, pages = {137–146}, year = {2013}, doi = {10.1016/j.neunet.2012.07.006}, }
Müller, M. K., Tremer, M., Bodenstein, C., & Würtz, R. P.. (2013). Learning invariant face recognition from examples. Neural Networks, 41, 137–146. http://doi.org/10.1016/j.neunet.2012.07.0062012
Unsupervised Learning of Face Detection Models from Unlabeled Image StreamsWalther, T., & Würtz, R. P.In A. Brömme & Busch, C. (Eds.), Proceedings of the 11th International Conference of the Biometrics Special Interest Group (Vol. P-196, pp. 221–231) Bonn: Köllen@inproceedings{WaltherWürtz2012, author = {Walther, Thomas and Würtz, Rolf P.}, title = {Unsupervised Learning of Face Detection Models from Unlabeled Image Streams}, booktitle = {Proceedings of the 11th International Conference of the Biometrics Special Interest Group}, editor = {Brömme, A. and Busch, C.}, pages = {221–231}, publisher = {Köllen}, volume = {P-196}, series = {LNI}, address = {Bonn}, month = {September}, year = {2012}, }
Walther, T., & Würtz, R. P.. (2012). Unsupervised Learning of Face Detection Models from Unlabeled Image Streams. In A. Brömme & Busch, C. (Eds.), Proceedings of the 11th International Conference of the Biometrics Special Interest Group (Vol. P-196, pp. 221–231). Bonn: Köllen.Lernen situationsunabhängiger PersonenerkennungMüller, M. K., Tremer, M., Bodenstein, C., & Würtz, R. P.Informatikspektrum, 35(2), 112–118@article{MüllerTremerBodensteinEtAl2012, author = {Müller, Marco K. and Tremer, Michael and Bodenstein, Christian and Würtz, Rolf P.}, title = {Lernen situationsunabhängiger Personenerkennung}, journal = {Informatikspektrum}, volume = {35}, number = {2}, pages = {112–118}, year = {2012}, doi = {10.1007/s00287-012-0598-3}, }
Müller, M. K., Tremer, M., Bodenstein, C., & Würtz, R. P.. (2012). Lernen situationsunabhängiger Personenerkennung. Informatikspektrum, 35(2), 112–118. http://doi.org/10.1007/s00287-012-0598-32011
Genetic determination of the human facial shape: links between cleft-lips and normal variationBöhringer, S., van der Lijn, F., Liu, F., Sinigerova, S., Birnbaum, S., Mangold, E., et al.European Journal of Human Genetics, 19, 1192–1197@article{Böhringervan der LijnLiuEtAl2011, author = {Böhringer, S. and van der Lijn, F. and Liu, F. and Sinigerova, S. and Birnbaum, S. and Mangold, E. and Klein, S. and Niessen, WJ. and Breteler, M.M.B. and Würtz, R.P. and Noethen, M. and Horsthemke, B. and Wieczorek, D. and Kayser, M.}, title = {Genetic determination of the human facial shape: links between cleft-lips and normal variation}, journal = {European Journal of Human Genetics}, volume = {19}, pages = {1192–1197}, year = {2011}, doi = {10.1038/ejhg.2011.110}, }
Böhringer, S., van der Lijn, F., Liu, F., Sinigerova, S., Birnbaum, S., Mangold, E., et al. (2011). Genetic determination of the human facial shape: links between cleft-lips and normal variation. European Journal of Human Genetics, 19, 1192–1197. http://doi.org/10.1038/ejhg.2011.110A novel approach for the detection of acromegaly: accuracy of diagnosis by automatic face classificationSchneider, H. J., Kosilek, R. P., Günther, M., Schopohl, J., Römmler, J., Stalla, G. K., et al.Journal of Clinical Endocrinology and Metabolism, 96(7), 2074–2080@article{SchneiderKosilekGüntherEtAl2011, author = {Schneider, Harald J. and Kosilek, Robert P. and Günther, Manuel and Schopohl, Jochen and Römmler, Josefine and Stalla, Günter K. and Sievers, Caroline and Reincke, Martin and Würtz, Rolf P.}, title = {A novel approach for the detection of acromegaly: accuracy of diagnosis by automatic face classification}, journal = {Journal of Clinical Endocrinology and Metabolism}, volume = {96}, number = {7}, pages = {2074–2080}, year = {2011}, doi = {10.1210/jc.2011-0237}, }
Schneider, H. J., Kosilek, R. P., Günther, M., Schopohl, J., Römmler, J., Stalla, G. K., et al. (2011). A novel approach for the detection of acromegaly: accuracy of diagnosis by automatic face classification. Journal of Clinical Endocrinology and Metabolism, 96(7), 2074–2080. http://doi.org/10.1210/jc.2011-0237Learning to Look at HumansWalther, T., & Würtz, R. P.In C. Müller-Schloer, Schmeck, H., & Ungerer, T. (Eds.), Organic Computing - a Paradigm Shift for Complex Systems (pp. 309–322) Springer@incollection{WaltherWürtz2011, author = {Walther, Thomas and Würtz, Rolf P.}, title = {Learning to Look at Humans}, booktitle = {Organic Computing - a Paradigm Shift for Complex Systems}, editor = {Müller-Schloer, Christian and Schmeck, Hartmut and Ungerer, Theo}, pages = {309–322}, publisher = {Springer}, year = {2011}, doi = {10.1007/978-3-0348-0130-0_20}, }
Walther, T., & Würtz, R. P.. (2011). Learning to Look at Humans. In C. Müller-Schloer, Schmeck, H., & Ungerer, T. (Eds.), Organic Computing - a Paradigm Shift for Complex Systems (pp. 309–322). Springer. http://doi.org/10.1007/978-3-0348-0130-0_202010
Evolutionary Optimization of Growing Neural Gas Parameters for Object Categorization and RecognitionDonatti, G. S., Lomp, O., & Würtz, R. P.In Proc. IJCNN (pp. 1862–1869) IEEE Computer Society, Los Alamitos, CA@inproceedings{DonattiLompWürtz2010, author = {Donatti, Guillermo S. and Lomp, Oliver and Würtz, Rolf P.}, title = {Evolutionary Optimization of Growing Neural Gas Parameters for Object Categorization and Recognition}, booktitle = {Proc. IJCNN}, pages = {1862–1869}, publisher = {IEEE Computer Society, Los Alamitos, CA}, year = {2010}, }
Donatti, G. S., Lomp, O., & Würtz, R. P.. (2010). Evolutionary Optimization of Growing Neural Gas Parameters for Object Categorization and Recognition. In Proc. IJCNN (pp. 1862–1869). IEEE Computer Society, Los Alamitos, CA.Two kinds of statistics for better face recognitionGünther, M., Müller, M. K., & Würtz, R. P.In T. E. Simos, Psihoyios, G., & Tsitouras, C. (Eds.), Numerical Analysis and Applied Mathematics, International Conference (pp. 1901–1904) American Institute of Physics@inproceedings{GüntherMüllerWürtz2010, author = {Günther, Manuel and Müller, Marco K. and Würtz, Rolf P.}, title = {Two kinds of statistics for better face recognition}, booktitle = {Numerical Analysis and Applied Mathematics, International Conference}, editor = {Simos, T.E. and Psihoyios, G. and Tsitouras, Ch.}, pages = {1901–1904}, publisher = {American Institute of Physics}, year = {2010}, }
Günther, M., Müller, M. K., & Würtz, R. P.. (2010). Two kinds of statistics for better face recognition. In T. E. Simos, Psihoyios, G., & Tsitouras, C. (Eds.), Numerical Analysis and Applied Mathematics, International Conference (pp. 1901–1904). American Institute of Physics.Learning Generic Human Body ModelsWalther, T., & Würtz, R. P.In F. J. Perales & Fisher, R. B. (Eds.), Proc. Sixth Conference on Articulated Motion and Deformable Objects (pp. 98–107) Springer@inproceedings{WaltherWürtz2010, author = {Walther, Thomas and Würtz, Rolf P.}, title = {Learning Generic Human Body Models}, booktitle = {Proc. Sixth Conference on Articulated Motion and Deformable Objects}, editor = {Perales, F.J. and Fisher, R.B.}, pages = {98–107}, publisher = {Springer}, series = {LNCS}, year = {2010}, }
Walther, T., & Würtz, R. P.. (2010). Learning Generic Human Body Models. In F. J. Perales & Fisher, R. B. (Eds.), Proc. Sixth Conference on Articulated Motion and Deformable Objects (pp. 98–107). Springer.Editorial: Special Issue on Organic ComputingWürtz, R. P., Bellman, K. L., Schmeck, H., & Igel, C.ACM Transactions on Autonomous and Adaptive Systems, 5(3), 1–3@article{WürtzBellmanSchmeckEtAl2010, author = {Würtz, Rolf P. and Bellman, Kirstie L. and Schmeck, Hartmut and Igel, Christian}, title = {Editorial: Special Issue on Organic Computing}, journal = {ACM Transactions on Autonomous and Adaptive Systems}, volume = {5}, number = {3}, pages = {1–3}, year = {2010}, doi = {10.1145/1837909.1837910}, }
Würtz, R. P., Bellman, K. L., Schmeck, H., & Igel, C. (2010). Editorial: Special Issue on Organic Computing. ACM Transactions on Autonomous and Adaptive Systems, 5(3), 1–3. http://doi.org/10.1145/1837909.18379102009
Using Growing Neural Gas Networks to represent visual object knowledgeDonatti, G. S., & Würtz, R. P.In Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (pp. 54–58) IEEE Computer Society, Newark, NJ@inproceedings{DonattiWürtz2009, author = {Donatti, Guillermo S. and Würtz, Rolf P.}, title = {Using Growing Neural Gas Networks to represent visual object knowledge}, booktitle = {Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence}, pages = {54–58}, publisher = {IEEE Computer Society, Newark, NJ}, year = {2009}, }
Donatti, G. S., & Würtz, R. P.. (2009). Using Growing Neural Gas Networks to represent visual object knowledge. In Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (pp. 54–58). IEEE Computer Society, Newark, NJ.Face Detection and Recognition Using Maximum Likelihood Classifiers on Gabor GraphsGünther, M., &