Biblio

Export 164 results:
Author Title Type [ Year(Asc)]
2018
Stadelmann, T., S. Glinski-Haefeli, P. Gerber, and O. Dürr, "Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering", IAPR Workshop on Artificial Neural Networks in Pattern Recognition: Springer, pp. 333–345, 2018.
PDF icon ANNPR_2018b.pdf (692.47 KB)
Laube, P., M. O. Franz, and G. Umlauf, "Deep Learning Parametrization for B-Spline Curve Approximation", 2018 International Conference on 3D Vision (3DV): IEEE, pp. 691–699, 2018.
PDF icon 0109.pdf (675.91 KB)
Siegismund, D., V. Tolkachev, S. Heyse, B. Sick, O. Dürr, and S. Steigele, "Developing deep learning applications for life science and pharma industry", Drug research, vol. 68, pp. 305–310, 2018.
Laube, P., M. Grunwald, M. O. Franz, and G. Umlauf, "Image Inpainting for High-Resolution Textures using CNN Texture Synthesis", Computer Graphics & Visual Computing (CGVC), Swansea UK, Eurographics Association, 2018.
PDF icon gcvc18.pdf (5.73 MB)
Dürr, O., E. Murina, D. Siegismund, V. Tolkachev, S. Steigele, and B. Sick, "Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes", Assay and drug development technologies, vol. 16, no. 6: Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, pp. 343–349, 2018.
PDF icon adt.2018.859.pdf (711.06 KB)
Meier, B. Bruno, I. Elezi, M. Amirian, O. Dürr, and T. Stadelmann, "Learning Neural Models for End-to-End Clustering", IAPR Workshop on Artificial Neural Networks in Pattern Recognition: Springer, pp. 126–138, 2018.
PDF icon ANNPR_2018a.pdf (3.43 MB)
Laube, P., M. O. Franz, and G. Umlauf, "Learnt knot placement in B-spline curve approximation using support vector machines", Computer Aided Geometric Design, vol. 62, pp. 104–116, 2018.
PDF icon GMP18.pdf (865.85 KB)
Schall, M., H. P. Buehrig, M-P. Schambach, and M. O. Franz, "LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries", 13th IAPR International Workshop on Document Analysis Systems: IEEE, 2018.
PDF icon 2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
Schall, M., M-P. Schambach, and M. O. Franz, "Multi-Dimensional Connectionist Classification: Reading Text in One Step", 13th IAPR International Workshop on Document Analysis Systems: IEEE, 2018.
PDF icon 2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
Grunwald, M., M. Hermann, F. Freiberg, and M. O. Franz, "Optical Surface Detection: A novelty detection approach based on CNN-encoded features", SPIE Optics and Photonics, pp. 10752 - 10752 - 13, 10/2018.
Schall, M., D. Sacha, M. Stein, M. O. Franz, and D. A. Keim, "Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition", Visualization in Data Science (VDS at IEEE VIS) 2018, Berlin/Germany, IEEE, 2018.
PDF icon Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
2017
Laube, P., M. O. Franz, and G. Umlauf, "Evaluation of features for SVM-based classification of geometric primitives in point clouds", Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on: IEEE, pp. 59–62, 2017.
PDF icon paper.pdf (1.5 MB)
Lukic, Y. X., C. Vogt, O. Dürr, and T. Stadelmann, "Learning embeddings for speaker clustering based on voice equality", Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on: IEEE, pp. 1–6, 2017.
PDF icon MLSP_2017.pdf (1.34 MB)
Grunwald, M., P. Laube, M. Schall, G. Umlauf, and M. O. Franz, "Radiometric calibration of digital cameras using neural networks", Optics and Photonics for Information Processing XI: SPIE - International Society for Optics and Photonics, 08/2017.
2016
Schall, M., M-P. Schambach, and M. O. Franz, "Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method", Conference: BW-CAR Symposium on Information and Communication Systems (SInCom), 12/2016.
PDF icon 2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
Schall, M., M-P. Schambach, and M. O. Franz, "Increasing robustness of handwriting recognition using character n-gram decoding on large lexica", 12th IAPR International Workshop on Document Analysis Systems: IEEE, 2016.
PDF icon Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
Grunwald, M., J. Gansloser, and M. O. Franz, "Radiometric calibration of digital cameras using sparse Gaussian processes", Workshop Farbbildverarbeitung, 2016.
Laube, P., and G. Umlauf, "A short survey on recent methods for cage computation", BW-CAR| SINCOM, pp. 37, 2016.
PDF icon cagesurvSinCom.pdf (444.89 KB)
Dürr, O., and B. Sick, "Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks", Journal of biomolecular screening, vol. 21, no. 9: SAGE Publications, pp. 998–1003, 2016.
Lukic, Y., C. Vogt, O. Dürr, and T. Stadelmann, "Speaker Identification and Clustering using Convolution Neural Networks", IEEE International workshop on Machine Learning for Signal Processing, 2016.
Grunwald, M., and M. O. Franz, "Wahrnehmungsorientierte optische Inspektion von texturierten Oberflächen", INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, vol. 259, pp. 1963–1968, 2016.

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