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F. König, EMG-basierte simultane und proportionale Online-Steuerung einer virtuellen Prothese. Paderborn University, 2014.
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B. Koch, Hardware Acceleration of Mechatronic Controllers on a Zynq Platform FPGA. Paderborn University, 2014.
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R. Mittendorf, Advanced AES-key recovery from decayed RAM using multi-threading and FPGAs. Paderborn University, 2014.
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C. Rüthing, The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores. Paderborn University, 2014.
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L. Schäfers, Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go. Berlin: Logos Verlag Berlin GmbH, 2014.
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C. Shen, P. Kaufmann, and M. Braun, “Optimizing the Generator Start-up Sequence After a Power System Blackout,” in IEEE Power and Energy Society General Meeting (IEEE GM), 2014.
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C. Shen, P. Kaufmann, and M. Braun, “A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm,” in Power Systems Computation Conference (PSCC), 2014.
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S. Surmund, Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA. Paderborn University, 2014.
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A. I. Esparcia-Alc\rquote azar et al., Applications of Evolutionary Computation - 17th European Conference, EvoApplications, vol. 8602. Granada, Spain: Springer, 2014.
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J. Anwer and M. Platzner, “Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs,” in IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014, pp. 177–184.
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H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection,” in 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2014, pp. 163–168.
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M. Trier and A. Richter, “The deep structure of organizational online networking - an actor-oriented case study,” Information Systems Journal, pp. 465–488, 2014.
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A. Chinaev, M. Puels, and R. Haeb-Umbach, “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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F. Jacob and R. Haeb-Umbach, “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, pp. 95–109, 2014.
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J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014.
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