Franz Pernkopf

2009
Pernkopf, F., "Graphical Models: Discriminative Learning, Inference, and Applications", Habilitation Thesis: Graz University of Technology, pp. 202, 2009.
2008
Pernkopf, F., "Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation", International Conference on Computer Vision Theory and Applications, pp. 463-468, Jan, 2008.
Petrik, S., and F. Pernkopf, "Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction", Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning: ACTA Press, pp. 194 - 199, Feb, 2008.
Petrik, S., and F. Pernkopf, "Automatic Phonetics-Driven Reconstruction of Medical Dictations on Multiple Levels of Segmentation", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4317 - 4320, 2008.
Pernkopf, F., T. V. Pham, and J. Bilmes, "Broad Phonetic Classification Using Discriminative Bayesian Networks", Speech communication, vol. 51, pp. 151 - 166, 2008.  Download: speechcomm.pdf (467.23 KB)
Pernkopf, F., and J. Bilmes, "Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers", Technical Report, Laboratory for Signal Processing and Speech Communication: Graz Univeristy of Technology, 2008.  Download: mastertr.pdf (662.12 KB)
Pernkopf, F., and J. Bilmes, "Order-based Discriminative Structure Learning for Bayesian network Classifiers", International Symposium on Artificial Intelligence and Mathematics, pp. 1 - 8, 2008.  Download: masterisaim08.pdf (255.41 KB)
Pernkopf, F., "Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation", IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 38, issue 6, pp. 1465 - 1475, 2008.  Download: tsmcb.pdf (3.69 MB); videos.tar.gz (6.96 MB)
2007
Neffe, M., T. V. Pham, F. Pernkopf, and G. Kubin, "Robust Speaker Verification in Air Traffic Control using Improved Voice Activity Detection", IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, vol. n/a, pp. 298 - 303, Feb, 2007.
Pernkopf, F., "Discriminative Learning of Bayesian Network Classifiers", IASTED International Conference on Artificial Intelligence and Applications, pp. 422-427, 2007.
Kepesi, M., F. Pernkopf, and M. Wohlmayr, "Joint Position-Pitch Tracking for 2-Channel Audio", 5th International Workshop on Content-Based Multimedia Indexing, pp. 303 - 306, 2007.
Denchev, V., F. Pernkopf, and D. Radev, "Modeling and Clustering Analysis of Broadband Convergence Networks", 2nd IEEE International Workshop on Broadband Convergence Networks, pp. 1 - 12, 2007.
Pernkopf, F., "Tracking of Multiple Targets using On-line Learning for Appearance Model Adaptation", International Conference on Image Analysis and Recognition (ICIAR), pp. 602 - 614, 2007.
2006
Pernkopf, F., "Discriminative Learning of Bayesian Network Classifiers", IASTED International Conference on Artificial Intelligence and Soft Computing (oral presentation): Acta Press, pp. 1 - 6, Aug, 2006.
Pernkopf, F., and T. V. Pham, "Bayesian Networks for Phonetic Classification Using Time-Scale Features", International Conference on Spoken Language Processing (ICSLP), Interspeech, 2006.
Stark, M., T. V. Pham, F. Pernkopf, G. Kubin, and H. Hering, Speaker Verification for Air Traffic Control, , vol. EUROCONTROL Innovative Research Workshop & Exhibition, 2006.
2005
Pernkopf, F., "3D Surface Analysis using Coupled HMMs", Machine Vision and Applications, vol. 16, issue 5, pp. 298-305, 2005.  Download: mvafulltext.pdf (359.94 KB)
Pernkopf, F., "Bayesian Network Classifiers versus Selective k-NN Classifier", Pattern Recognition, vol. 38, pp. 1 - 10, 2005.  Download: pr_elsevier.pdf (183.62 KB)
Pernkopf, F., and J. Bilmes, "Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers", International Conference on Machine Learning (ICML), pp. 657 - 664, 2005.  Download: icml2005.pdf (138.45 KB)
Pernkopf, F., and D. Bouchaffra, "Genetic-based EM Algorithm for Learning Gaussian Mixture Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, issue 8, pp. 1344 - 1348, 2005.  Download: tpami.pdf (545.09 KB)