Franz Pernkopf

2015
Tschiatschek, S., & Pernkopf F. (2015).  On Bayesian Network Classifiers with Reduced Precision Parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(4), 774-785. Download: mainRevisedMinor.pdf (511.56 KB)
Zöhrer, M., Peharz R., & Pernkopf F. (2015).  Representation Learning for Single-Channel Source Separation and Bandwidth Extension. IEEE Transactions on Audio, Speech, and Language Processing. 23(12), 2398--3409. Download: Master2014-TASLP_July15.pdf (5.98 MB)
Zöhrer, M., & Pernkopf F. (2015).  Representation Models in Single Channel Source Separation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).  Download: SCSS_Re1.pdf (1.7 MB)
Ratajczak, M., Tschiatschek S., & Pernkopf F. (2015).  Structured Regularizer for Neural Higher- Order Sequence Models. European Conference on Machine Learning (ECML).  Download: ecml2015Martin.pdf (437.5 KB)
2014
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)
Zöhrer, M., & Pernkopf F. (2014).  General Stochastic Networks for Classifi cation. Neural Information Processing Systems (NIPS).
Tschiatschek, S., Paul K., & Pernkopf F. (2014).  Integer Bayesian Networks. European Conference on Machine Learning (ECML).  Download: main_1.pdf (407.69 KB)
Pernkopf, F., Peharz R., & Tschiatschek S. (2014).  Introduction to Probabilistic Graphical Models. Academic Press Library in Signal Processing, Vol. 1, Ch. 18. 989-1064. Download: PGM.pdf (825.41 KB)
2013