Dr. Jens Hocke

Photo of Jens  Hocke

Data Scientist

Blue Yonder Gmbh
Heidenkampsweg 45
20097 Hamburg

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Publikationen

2015

  • Hocke, J. and Martinetz, T.: Learning Transformation Invariance from Global to Local: Workshop New Challenges in Neural Computation 2015, vol. 03, Hammer, B. and Villmann, T. (Ed.), pp. 16-24, 2015
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  • Hocke, J. and Martinetz, T.: Maximum Distance Minimization for Feature Weighting: Pattern Recognition Letters, vol. 52, pp. 48-52, 2015
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2014

  • Hocke, J. and Martinetz, T.: Global Metric Learning by Gradient Descent: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings, vol. 8681, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P. D., Magg, S., Palm, G., and Villa, A. E. P. (Ed.), Springer, pp. 129-135, 2014
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  • Hocke, J. and Martinetz, T.: Learning Transformation Invariance for Object Recognition: Workshop New Challenges in Neural Computation 2014, vol. 02, Hammer, B. and Villmann, T. (Ed.), pp. 20-25, 2014
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2013

  • Hocke, J. and Martinetz, T.: Feature Weighting by Maximum Distance Minimization: Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings, vol. 8131, Mladenov, V., Koprinkova-Hristova, P. D., Palm, G., Villa, A. E. P., Appollini, B., and Kasabov, N. (Ed.), Springer, pp. 420-425, 2013
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  • Hocke, J. and Martinetz, T.: Application of Maximum Distance Minimization to Gene Expression Data: Workshop New Challenges in Neural Computation 2013, vol. 02, Hammer, B., Martinetz, T., and Villmann, T. (Ed.), pp. 6-7, 2013, Short Paper
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2012

  • Hocke, J., Barth, E., and Martinetz, T.: Application of non-linear transform coding to image processing: Human Vision and Electronic Imaging XVII, vol. 8291, Rogowitz, B. E., Pappas, T. N., and Ridder, H. d. (Ed.), Proceedings of SPIE, 2012
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  • Hocke, J., Dorr, M., and Barth, E.: A compressed sensing model of peripheral vision: Human Vision and Electronic Imaging XVII, vol. 8291, Rogowitz, B. E., Pappas, T. N., and Ridder, H. d. (Ed.), Proceedings of SPIE, 2012
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  • Hocke, J., Labusch, K., Barth, E., and Martinetz, T.: Sparse Coding and Selected Applications: KI - Künstliche Intelligenz, vol. 26, no. 4, Springer Berlin / Heidelberg, pp. 349-355, 2012
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  • Hocke, J. and Martinetz, T.: Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits: Workshop New Challenges in Neural Computation 2012, vol. 03, Hammer, B. and Villmann, T. (Ed.), pp. 113-115, 2012, Short Paper
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2011

  • Hocke, J., Martinetz, T., and Barth, E.: Image Deconvolution with Sparse Priors: Workshop New Challenges in Neural Computation 2011, vol. 05, Hammer, B. and Villmann, T. (Ed.), , 2011, Abstract
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