Publications

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2014
Geiger, B. (2014).  Information Loss in Deterministic Systems. Graz University of Technology. Abstract  Download: Geiger_Thesis.pdf (2.01 MB)
Griesser, D., & Schuppler B. (2014).  Wie Österreichisch auch für Software verständlicher wird. Der Standard. Forschung Spezial -- Journal für Wissenschaft, Technologie und Entwicklung.
Ratajczak, M., Tschiatschek S., & Pernkopf F. (2014).  Context-Speci c Deep Conditional Random Fields for Structured Prediction. International Conference on Machine Learning (ICML), Workshop on Learning Tractable Probabilistic Models.  Download: ltpm2014_submission_4_accepted.pdf (314.24 KB)
Cristoforetti, L., Ravanelli M., Omologo M., Sosi A., Abad A., Hagmüller M., et al. (2014).  The DIRHA simulated corpus. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). 2629--2634.
Zöhrer, M., & Pernkopf F. (2014).  General Stochastic Networks for Classifi cation. Neural Information Processing Systems (NIPS).
Schuppler, B., Hagmüller M., Morales-Cordovilla J. A., & Pessentheiner H. (2014).  GRASS: The Graz Corpus of Read and Spontaneous Speech. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). 1465-1470. Abstract  Download: 394_Paper.pdf (253.38 KB)
Schuppler, B. (2014).  How extra-linguistic factors affect pronunciation variation in different speaking styles. 22nd Czech-German Workshop on Speech Communication. 31-32. Download: 2014_abstract_Prague.pdf (80.23 KB)
Geiger, B., & Kubin G. (2014).  Information Loss and Anti-Aliasing Filters in Multirate Systems. Int. Zurich Seminar on Communications. 148-151. Abstract  Download: GeigerKubin_Filters.pdf (123.6 KB)
Geiger, B., & Kubin G. (2014).  Information-Maximizing Prefilters for Quantization. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). 4968 - 4972. Abstract  Download: Mathematica_ICASSP.zip (75.91 KB); GeigerKubin_InfoPrefilters.pdf (123.46 KB)
Tschiatschek, S., Paul K., & Pernkopf F. (2014).  Integer Bayesian Networks. European Conference on Machine Learning (ECML).  Download: main_1.pdf (407.69 KB)