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Research Output 1999 2019

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Article

3D Surface Acquisition and Reconstruction for Inspection of Raw Steel Products

Pernkopf, F., 2005, (Submitted) In : Computers in industry.

Research output: Contribution to journalArticleResearchpeer-review

3D Surface Analysis using Coupled HMMs

Pernkopf, F., 2005, (Submitted) In : Machine vision and applications.

Research output: Contribution to journalArticleResearchpeer-review

Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 1 Sep 2018, In : Iron & Steel Technology. 15, 9, p. 52-60 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Refractory materials
Data mining
Wear of materials
Artificial intelligence
Iron and steel plants

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models

Wohlmayr, M., Stark, M. & Pernkopf, F., 2011, In : IEEE transactions on audio, speech and language processing. p. 799-810

Research output: Contribution to journalArticleResearchpeer-review

Bayesian Network Classifiers versus Selective k-NN Classifier

Pernkopf, F., 2005, In : Pattern recognition. 38, 1, p. 1-10

Research output: Contribution to journalArticleResearchpeer-review

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

Roth, W. & Pernkopf, F., 6 Dec 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticleResearchpeer-review

Dirichlet Process
Bayesian Networks
Sharing
Neural Networks
Neural networks

Broad Phonetic Classification Using Discriminative Bayesian Networks

Pernkopf, F., Pham, T. V. & Bilmes, J., 2008, In : Speech Communication. 51, 2, p. 151-166

Research output: Contribution to journalArticleResearch

Detection of Extra Pulses in Synthesized Glottal Area Waveforms of Dysphonic Voices

Aichinger, P., Schoentgen, J. & Pernkopf, F., 2018, In : Biomedical Signal Processing and Control. 50

Research output: Contribution to journalArticleResearchpeer-review

Detection of Surface Defects on Raw Steel Blocks using Bayesian Network Classifiers

Pernkopf, F., 2004, In : Pattern analysis and applications. 7, 3, p. 333-342

Research output: Contribution to journalArticleResearch

Digital Refractory Age

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 2017, In : Bulletin, the Journal of Refractory Innovations / Steel & Industrial Edition. 2017, 1, p. 12-20

Research output: Contribution to journalArticleResearch

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

Pernkopf, F. & Bilmes, J., 2010, In : Journal of machine learning research. p. 2323-2360

Research output: Contribution to journalArticleResearchpeer-review

Eye Movements during silent and oral reading in a regular orthography: Basic characteristics and correlations with childhood cognitive abilities and adolescent reading skills

Krieber, M., Bartl-Pokorny, K. D., Pokorny, F. B., Zhang, D., Landerl, K., Körner, C., Pernkopf, F., Pock, T., Einspieler, C. & Marschik, P. B., 1 Feb 2017, In : PLoS ONE. 12, 2, 0170986.

Research output: Contribution to journalArticleResearchpeer-review

Aptitude
Eye movements
Eye Movements
childhood
Reading

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation

Knoll, C., Chen, T., Mehta, D. & Pernkopf, F., 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 9, p. 2124-2136

Research output: Contribution to journalArticleResearchpeer-review

Floating Search Algorithm for Structure Learning of Bayesian Network Classifiers

Pernkopf, F. & O'Leary, P., 2003, In : Pattern recognition letters. 24, p. 2839-2848

Research output: Contribution to journalArticleResearchpeer-review

Fundamental Frequency Tracking in Diplophonic Voices

Aichinger, P., Hagmüller, M., Roesner, I., Schneider-Stickler, B., Schoentgen, J. & Pernkopf, F., 2016, In : Biomedical Signal Processing and Control.

Research output: Contribution to journalArticleResearchpeer-review

Genetic-based EM Algorithm for Learning Gaussian Mixture Models

Pernkopf, F. & Bouchaffra, D., 2005, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 27, 8, p. 1344-1348

Research output: Contribution to journalArticleResearchpeer-review

Heart Sound Segmentation - An Event Detection Approach using Deep Recurrent Neural Networks

Messner, E., Zöhrer, M. & Pernkopf, F., 2018, In : IEEE transactions on biomedical engineering. 65, 9

Research output: Contribution to journalArticleResearchpeer-review

Hybrid generative-discriminative training of Gaussian mixture models

Roth, W., Peharz, R., Tschiatschek, S. & Pernkopf, F., 1 Sep 2018, In : Pattern recognition letters. 112, p. 131-137 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Covariance matrix
Maximum likelihood
Experiments
Statistical Models

Image Acquisition Techniques for Automatic Visual Inspection of Metallic Surfaces

Pernkopf, F. & O'Leary, P., 2003, In : NDT & E international. 36, 8, p. 609-617

Research output: Contribution to journalArticleResearchpeer-review

Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement

Tantibundhit, C., Pernkopf, F. & Kubin, G., 2010, In : IEEE transactions on audio, speech and language processing. 18, 6, p. 1417-1428

Research output: Contribution to journalArticleResearchpeer-review

Maximum Margin Bayesian Network Classifiers

Pernkopf, F., Wohlmayr, M. & Tschiatschek, S., 2012, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 34, 3, p. 521-532

Research output: Contribution to journalArticleResearchpeer-review

Maximum Margin Hidden Markov Models for Sequence Classi cation

Mutsam, N. & Pernkopf, F., 2016, In : Pattern recognition letters. 77, p. 14-20 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference

Wohlmayr, M. & Pernkopf, F., 2013, In : IEEE transactions on audio, speech and language processing. 21, 8, p. 1742-1754

Research output: Contribution to journalArticleResearchpeer-review

On Bayesian Network Classifiers with Reduced Precision Parameters

Tschiatschek, S. & Pernkopf, F., 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 4, p. 774-785

Research output: Contribution to journalArticleResearchpeer-review

On pre-image iterations for speech enhancement

Leitner, C. & Pernkopf, F., 2015, In : SpringerPlus . 4, p. 243--

Research output: Contribution to journalArticleResearchpeer-review

On the Latent Variable Interpretation in Sum-Product Networks

Peharz, R., Gens, R., Pernkopf, F. & Domingos, P., 2017, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 10, p. 2030-2044

Research output: Contribution to journalArticleResearchpeer-review

Representation Learning for Single-Channel Source Separation and Bandwidth Extension

Zöhrer, M., Pernkopf, F. & Peharz, R., 2015, In : IEEE transactions on audio, speech and language processing. 23, 12, p. 2398-2409

Research output: Contribution to journalArticleResearchpeer-review

Semantic and Phonetic Automatic Reconstruction of Medical Dictations

Petrik, S., Drexel, C., Fessler, L., Jancsary, J., Klein, A., Kubin, G., Matiasek, J., Pernkopf, F. & Trost, H., 2011, In : Computer speech and language. 25, 2, p. 363-385

Research output: Contribution to journalArticleResearchpeer-review

Source-Filter based Single Channel Speech Separation using Pitch Information

Stark, M., Wohlmayr, M. & Pernkopf, F., 2011, In : IEEE transactions on audio, speech and language processing. 19, 2, p. 242-255

Research output: Contribution to journalArticleResearchpeer-review

Sparse nonnegative matrix factorization with ℓ0-constraints

Peharz, R. & Pernkopf, F., 2012, In : Neurocomputing. 80, p. 38-46

Research output: Contribution to journalArticleResearchpeer-review

Stochastic Margin-based Structure Learning of Bayesian Network Classiers

Pernkopf, F. & Wohlmayr, M., 2013, In : Pattern recognition. 46, 2, p. 464-471

Research output: Contribution to journalArticleResearchpeer-review

Sum-Product Networks for Structured Prediction

Ratajczak, M., Tschiatschek, S. & Pernkopf, F., 2018, In : arXiv.org e-Print archive.

Research output: Contribution to journalArticleResearch

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices

Aichinger, P., Hagmüller, M., Schneider-Stickler, B., Schoentgen, J. & Pernkopf, F., 6 Oct 2017, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 26, 2, p. 330-341

Research output: Contribution to journalArticleResearchpeer-review

Benchmarking
candidacy
waveforms
voting
Phonation

Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation

Pernkopf, F., 2008, In : IEEE Transactions on Systems, Man, and Cybernetics / B. 38, 6, p. 1465-1475

Research output: Contribution to journalArticleResearchpeer-review

Visual Inspection of Machined Metallic High-Precision Surfaces

Pernkopf, F. & O'Leary, P., 2002, In : EURASIP journal on applied signal processing. 2002, 7, p. 667-678

Research output: Contribution to journalArticleResearchpeer-review