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Peter Beyerlein
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2020 – today
- 2023
- [j5]Vincent Schilling, Peter Beyerlein, Jeremy Chien:
A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning. Algorithms 16(7): 330 (2023)
2010 – 2019
- 2012
- [j4]Nevenka Dimitrova, Judith Klein-Seetharaman, Peter Beyerlein, Ahmed H. Tewfik:
Signal Processing in Genomics and Proteomics: Defining Its Role [From the Guest Editors]. IEEE Signal Process. Mag. 29(1): 19-21 (2012) - [j3]Chong Wang, Peter Beyerlein, Heike Pospisil, Antje Krause, Chris D. Nugent, Werner Dubitzky:
An Efficient Method for Modeling Kinetic Behavior of Channel Proteins in Cardiomyocytes. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 40-51 (2012) - [c23]Heike Ruppertshofen, Thomas Bülow, Jens von Berg, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
A multi-dimensional model for localization of highly variable objects. Image Processing 2012: 83142L - 2011
- [j2]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Discriminative Generalized Hough transform for localization of joints in the lower extremities. Comput. Sci. Res. Dev. 26(1-2): 97-105 (2011) - [c22]Markus Brunk, Heike Ruppertshofen, Sarah Schmidt, Peter Beyerlein, Hauke Schramm:
Bone Age Classification Using the Discriminative Generalized Hough Transform. Bildverarbeitung für die Medizin 2011: 284-288 - [c21]Heike Ruppertshofen, Daniel Künne, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg H. Rose, Hauke Schramm:
Multi-Level Approach for the Discriminative Generalized Hough Transform. CURAC 2011: 67-70 - [c20]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Shape model training for concurrent localization of the left and right knee. Image Processing 2011: 796241 - 2010
- [c19]Heike Ruppertshofen, Cristian Lorenz, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform. Bildverarbeitung für die Medizin 2010: 281-285 - [c18]Heike Ruppertshofen, Cristian Lorenz, Sarah Strunk, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Lokalisierung der Leber mittels einer Diskriminativen Generalisierten Hough Transformation. CURAC 2010: 183-188 - [c17]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Iterative Training of Discriminative Models for the Generalized Hough Transform. MCV 2010: 21-30
2000 – 2009
- 2009
- [c16]Stephanie Tscherneck, Sarah Strunk, Christian Schmidt, Paul Hammer, Ronny Amberg, Chong Wang, Rainer Gillert, Antje Krause, Gabriele Petznick, Peter Beyerlein:
On the mutual information between interaction perplexity and function of proteins. GENSiPS 2009: 1-4 - [c15]Werner Spiegl, Georg Stemmer, Eva Lasarcyk, Varada Kolhatkar, Andrew Cassidy, Blaise Potard, Stephen Shum, Young Chol Song, Puyang Xu, Peter Beyerlein, James D. Harnsberger, Elmar Nöth:
Analyzing features for automatic age estimation on cross-sectional data. INTERSPEECH 2009: 2923-2926 - 2002
- [j1]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Hermann Ney, Michael Pitz, Achim Sixtus:
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach. Speech Commun. 37(1-2): 109-131 (2002) - [c14]Carsten Meyer, Peter Beyerlein:
Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training. ICML 2002: 419-426 - 2001
- [c13]Peter Beyerlein, Xavier L. Aubert, Matthew Harris, Carsten Meyer, Hauke Schramm:
Investigations on conversational speech recognition. INTERSPEECH 2001: 499-502 - [c12]Hauke Schramm, Peter Beyerlein:
Towards discriminative lexicon optimization. INTERSPEECH 2001: 1457-1460 - 2000
- [b1]Peter Beyerlein:
Diskriminative Modellkombination in Spracherkennungssystemen mit großem Wortschatz. RWTH Aachen University, Germany, 2000 - [c11]William Byrne, Peter Beyerlein, Juan M. Huerta, Sanjeev Khudanpur, B. Marthi, John Morgan, Nino Peterek, Joe Picone, Dimitra Vergyri, W. Wang:
Towards language independent acoustic modeling. ICASSP 2000: 1029-1032
1990 – 1999
- 1999
- [c10]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Michael Pitz, Achim Sixtus:
The philips/RWTH system for transcription of broadcast news. EUROSPEECH 1999 - [c9]Matthew Harris, Xavier L. Aubert, Reinhold Haeb-Umbach, Peter Beyerlein:
A study of broadcast news audio stream segmentation and segment clustering. EUROSPEECH 1999: 1027-1030 - 1998
- [c8]Peter Beyerlein:
Discriminative model combination. ICASSP 1998: 481-484 - 1997
- [c7]Eric Thelen, Xavier L. Aubert, Peter Beyerlein:
Speaker adaptation in the Philips system for large vocabulary continuous speech recognition. ICASSP 1997: 1035-1038 - [c6]Peter Beyerlein, Meinhard Ullrich, Patricia Wilcox:
Modelling and decoding of crossword context dependent phones in the Philips large vocabulary continuous speech recognition system. EUROSPEECH 1997: 1163-1166 - 1996
- [c5]Xavier L. Aubert, Peter Beyerlein, Meinhard Ullrich:
A bottom-up approach for handling unseen triphones in large vocabulary continuous speech recognition. ICSLP 1996: 14-17 - 1995
- [c4]Christian Dugast, Peter Beyerlein, Reinhold Haeb-Umbach:
Application of clustering techniques to mixture density modelling for continuous-speech recognition. ICASSP 1995: 524-527 - [c3]Reinhold Haeb-Umbach, Peter Beyerlein, Eric Thelen:
Automatic transcription of unknown words in a speech recognition system. ICASSP 1995: 840-843 - [c2]Peter Beyerlein, Meinhard Ullrich:
Hamming distance approximation for a fast log-likelihood computation for mixture densities. EUROSPEECH 1995: 1083-1086 - 1994
- [c1]Peter Beyerlein:
Fast log-likelihood computation for mixture densities in a high-dimensional feature space. ICSLP 1994: 271-274
Coauthor Index
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