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Thomas Martinetz, Ph.D. - Publications

Affiliations: 
University of Luebeck, Lübeck, Schleswig-Holstein, Germany 
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25 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Alshazly H, Linse C, Barth E, Martinetz T. Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. Sensors (Basel, Switzerland). 19. PMID 31554303 DOI: 10.3390/S19194139  0.343
2019 Alshazly H, Linse C, Barth E, Martinetz T. Handcrafted versus CNN Features for Ear Recognition Symmetry. 11: 1493. DOI: 10.3390/Sym11121493  0.328
2016 Schutze H, Barth E, Martinetz T. Learning Efficient Data Representations With Orthogonal Sparse Coding Ieee Transactions On Computational Imaging. 2: 177-189. DOI: 10.1109/Tci.2016.2557065  0.348
2014 Burciu I, Ion-Margineanu A, Martinetz T, Barth E. Visual manifold sensing Proceedings of Spie - the International Society For Optical Engineering. 9014. DOI: 10.1117/12.2043012  0.3
2013 Coleca F, Klement S, Martinetz T, Barth E. Real-time skeleton tracking for embedded systems Proceedings of Spie - the International Society For Optical Engineering. 8667. DOI: 10.1117/12.2003004  0.305
2012 Vig E, Dorr M, Martinetz T, Barth E. Intrinsic dimensionality predicts the saliency of natural dynamic scenes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1080-91. PMID 22516647 DOI: 10.1109/Tpami.2011.198  0.344
2011 Labusch K, Barth E, Martinetz T. Robust and fast learning of sparse codes with stochastic gradient descent Ieee Journal On Selected Topics in Signal Processing. 5: 1048-1060. DOI: 10.1109/Jstsp.2011.2149496  0.343
2011 Labusch K, Barth E, Martinetz T. Soft-competitive learning of sparse codes and its application to image reconstruction Neurocomputing. 74: 1418-1428. DOI: 10.1016/J.Neucom.2011.02.002  0.329
2009 Labusch K, Barth E, Martinetz T. Sparse Coding Neural Gas: Learning of overcomplete data representations Neurocomputing. 72: 1547-1555. DOI: 10.1016/J.Neucom.2008.11.027  0.35
2008 Labusch K, Barth E, Martinetz T. Simple method for high-performance digit recognition based on sparse coding. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 1985-9. PMID 19000969 DOI: 10.1109/Tnn.2008.2005830  0.311
2008 Böhme M, Haker M, Martinetz T, Barth E. A facial feature tracker for human-computer interaction based on 3D Time-Of-Flight cameras International Journal of Intelligent Systems Technologies and Applications. 5: 264-273. DOI: 10.1504/Ijista.2008.021289  0.311
2007 Labusch K, Siewert U, Martinetz T, Barth E. Learning optimal features for visual pattern recognition Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.713371  0.331
2005 Meyer-Bäse A, Jancke K, Wismüller A, Foo S, Martinetz T. Medical image compression using topology-preserving neural networks Engineering Applications of Artificial Intelligence. 18: 383-392. DOI: 10.1016/J.Engappai.2004.10.004  0.313
1999 Wilke CO, Martinetz T. Adaptive walks on time-dependent fitness landscapes. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 60: 2154-9. PMID 11970008 DOI: 10.1103/Physreve.60.2154  0.478
1999 Wilke CO, Martinetz T. Lifetimes of agents under external stress Physical Review E. 59: R2512-R2515. DOI: 10.1103/Physreve.59.R2512  0.46
1999 Wilke CO, Ronnewinkel C, Martinetz T. Molecular evolution in time-dependent environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1674: 417-421. DOI: 10.1007/3-540-48304-7_57  0.394
1998 Wilke C, Martinetz T. Hierarchical noise in large systems of independent agents Physical Review E. 58: 7101-7108. DOI: 10.1103/PhysRevE.58.7101  0.383
1998 Wilke C, Altmeyer S, Martinetz T. Aftershocks in coherent-noise models Physica D: Nonlinear Phenomena. 120: 401-417. DOI: 10.1016/S0167-2789(98)00092-X  0.479
1997 Wilke C, Martinetz T. Simple model of evolution with variable system size Physical Review E. 56: 7128-7131. DOI: 10.1103/Physreve.56.7128  0.466
1994 Martinetz T, Schulten K. Topology representing networks Neural Networks. 7: 507-522. DOI: 10.1016/0893-6080(94)90109-0  0.449
1993 Martinetz TM, Berkovich SG, Schulten KJ. ;Neural-gas' network for vector quantization and its application to time-series prediction. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 4: 558-69. PMID 18267757 DOI: 10.1109/72.238311  0.396
1993 Martinetz T, Schulten K. A neural network with hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot Ieee International Conference On Neural Networks - Conference Proceedings. 1993: 820-822. DOI: 10.1109/ICNN.1993.298661  0.389
1993 Martinetz T, Schulten K. A neural network for robot control: Cooperation between neural units as a requirement for learning Computers and Electrical Engineering. 19: 315-332. DOI: 10.1016/0045-7906(93)90053-T  0.479
1990 Martinetz TM, Ritter HJ, Schulten KJ. Three-dimensional neural net for learning visuomotor coordination of a robot arm. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 1: 131-6. PMID 18282830 DOI: 10.1109/72.80212  0.584
1989 Ritter HJ, Martinetz TM, Schulten KJ. Topology-conserving maps for learning visuo-motor-coordination Neural Networks. 2: 159-168. DOI: 10.1016/0893-6080(89)90001-4  0.552
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