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Johan A. du Preez
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- affiliation: University of Stellenbosch, South Africa
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Journal Articles
- 2024
- [j20]J. du Toit, Johan A. du Preez, Riaan Wolhuter:
Low-density parity-check codes: tracking non-stationary channel noise using sequential variational Bayesian estimates. Telecommun. Syst. 85(2): 247-262 (2024) - 2023
- [j19]M. W. Rademan, Daniel J. J. Versfeld
, Johan A. du Preez:
Soft-output signal detection for cetacean vocalizations using spectral entropy, k-means clustering and the continuous wavelet transform. Ecol. Informatics 74: 101990 (2023) - 2022
- [j18]Jacques van Wyk
Temporal separation of whale vocalizations from background oceanic noise using a power calculation. Ecol. Informatics 69: 101627 (2022) - [j17]J. C. Schoeman
Degenerate Gaussian factors for probabilistic inference. Int. J. Approx. Reason. 143: 159-191 (2022) - [j16]Stuart C. J. Robertson
Efficient approximations of the multi-sensor labelled multi-Bernoulli filter. Signal Process. 199: 108633 (2022) - 2021
- [j15]Simon Streicher
Strengthening Probabilistic Graphical Models: The Purge-and-Merge Algorithm. IEEE Access 9: 149423-149432 (2021) - [j14]Willem A. Smit
Mobile Processor Energy Usage in the Scientific Environment. Comput. Sci. Eng. 23(3): 65-72 (2021) - [j13]Dewald Homan
Automated feature-specific tree species identification from natural images using deep semi-supervised learning. Ecol. Informatics 66: 101475 (2021) - 2020
- [j12]Francois Kamper, Sarel Steel, Johan A. du Preez:
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size. J. Mach. Learn. Res. 21: 101:1-101:42 (2020) - 2019
- [j11]Lloyd Haydn Hughes
A Cluster Graph Approach to Land Cover Classification Boosting. Data 4(1): 10 (2019) - [j10]Francois Kamper, Sarel Steel, Johan A. du Preez:
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size. J. Mach. Learn. Res. 20: 165:1-165:37 (2019) - 2018
- [j9]Francois Kamper
Regularized Gaussian belief propagation. Stat. Comput. 28(3): 653-672 (2018) - 2013
- [j8]Janto F. Dreijer, Ben M. Herbst, Johan A. du Preez
Left ventricular segmentation from MRI datasets with edge modelling conditional random fields. BMC Medical Imaging 13: 24 (2013) - 2010
- [j7]Herman Arnold Engelbrecht, Johan A. du Preez
Efficient backward decoding of high-order hidden Markov models. Pattern Recognit. 43(1): 99-112 (2010) - 2009
- [j6]Emli-Mari Nel, Johan A. du Preez
A pseudo-skeletonization algorithm for static handwritten scripts. Int. J. Document Anal. Recognit. 12(1): 47-62 (2009) - 2008
- [j5]Emli-Mari Nel, Johan A. du Preez
Verification of dynamic curves extracted from static handwritten scripts. Pattern Recognit. 41(12): 3773-3785 (2008) - 2006
- [j4]Niko Brümmer, Johan A. du Preez
Application-independent evaluation of speaker detection. Comput. Speech Lang. 20(2-3): 230-275 (2006) - 2005
- [j3]Emli-Mari Nel, Johan A. du Preez
Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1733-1746 (2005) - 2004
- [j2]Johannes Coetzer
Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model. EURASIP J. Adv. Signal Process. 2004(4): 559-571 (2004) - 1998
- [j1]Johan A. du Preez
Efficient training of high-order hidden Markov models using first-order representations. Comput. Speech Lang. 12(1): 23-39 (1998)
Conference and Workshop Papers
- 2022
- [c16]Rebecca M. C. Taylor, Johan A. du Preez:
SimLDA: A Tool for Topic Model Evaluation. FTC (3) 2022: 534-554 - [c15]Werner van der Merwe, Herman Kamper
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery. INTERSPEECH 2022: 1426-1430 - [c14]Rebecca M. C. Taylor, Johan A. du Preez:
ALBU: An Approximate Loopy Belief Message Passing Algorithm for LDA for Small Data Sets. SAI (1) 2022: 723-746 - 2017
- [c13]Johan A. du Preez
SAWACMMM'17: The 1st Workshop on Multi Media Applications within the South African Context. ACM Multimedia 2017: 1965-1966 - 2010
- [c12]Helge Reikeras, Ben M. Herbst, Johan A. du Preez, Herman A. Engelbrecht:
Audio-Visual Speech Recognition using SciPy. SciPy 2010: 85-91 - 2008
- [c11]Pieter Scholtz, Albert S. Visagie, Johan A. du Preez:
Statistical Speech Synthesis for the Blizzard Challenge 2008. Blizzard Challenge 2008 - [c10]Izak van Zyl Marais, Willem Herman Steyn
Construction of an Image Quality Assessment Model for Use on Board an Leo Satellite. IGARSS (2) 2008: 1068-1071 - 2005
- [c9]Emli-Mari Nel, Johan A. du Preez
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models. ICDAR 2005: 41-47 - 2003
- [c8]Pieter Nel, Johan A. du Preez:
Automatic syllabification using hierarchical hidden Markov models. ICASSP (1) 2003: 768-771 - 2001
- [c7]M. W. Theunissen, Konrad Scheffler, Johan A. du Preez:
Phoneme-based topic spotting on the switchboard corpus. INTERSPEECH 2001: 283-286 - 2000
- [c6]Ludwig Schwardt, Johan A. du Preez:
Efficient mixed-order hidden Markov model inference. INTERSPEECH 2000: 238-241 - [c5]Ludwig Schwardt, Johan A. du Preez:
Automatic language identification using mixed-order HMMs and untranscribed corpora. INTERSPEECH 2000: 254-257 - [c4]Justus C. Roux, Elizabeth C. Botha, Johan A. du Preez:
Developing a Multilingual Telephone Based Information System in African Languages. LREC 2000 - 1998
- [c3]Johan A. du Preez, David M. Weber:
Efficient high-order hidden Markov modelling. ICSLP 1998 - [c2]Johan A. du Preez, David M. Weber:
Automatic language recognition using high-order HMMs. ICSLP 1998 - 1992
- [c1]T. Waardenburg, Johan A. du Preez
The automatic recognition of stop consonants using hidden Markov models. ICASSP 1992: 585-588
Informal and Other Publications
- 2023
- [i17]Emile Reyn Engelbrecht, Johan A. du Preez:
Linking generative semi-supervised learning and generative open-set recognition. CoRR abs/2303.11702 (2023) - 2022
- [i16]J. du Toit, Johan A. du Preez, Riaan Wolhuter:
LDPC codes: comparing cluster graphs to factor graphs. CoRR abs/2204.06350 (2022) - [i15]J. du Toit, Johan A. du Preez, Riaan Wolhuter:
LDPC codes: tracking non-stationary channel noise using sequential variational Bayesian estimates. CoRR abs/2204.07037 (2022) - [i14]Werner van der Merwe, Herman Kamper, Johan A. du Preez:
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery. CoRR abs/2206.11706 (2022) - [i13]Rebecca M. C. Taylor, Johan A. du Preez:
SimLDA: A tool for topic model evaluation. CoRR abs/2208.09299 (2022) - [i12]Rebecca M. C. Taylor, Johan A. du Preez:
Rail break and derailment prediction using Probabilistic Graphical Modelling. CoRR abs/2208.11940 (2022) - 2021
- [i11]J. C. Schoeman, Corné E. van Daalen, Johan A. du Preez:
Degenerate Gaussian factors for probabilistic inference. CoRR abs/2104.15010 (2021) - [i10]Simon Streicher
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm. CoRR abs/2110.00091 (2021) - [i9]Rebecca M. C. Taylor, Johan A. du Preez:
ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets. CoRR abs/2110.00635 (2021) - [i8]Simon Streicher
Graph Coloring: Comparing Cluster Graphs to Factor Graphs. CoRR abs/2110.02048 (2021) - [i7]Simon Streicher
A Probabilistic Graphical Model Approach to the Structure-and-Motion Problem. CoRR abs/2110.03792 (2021) - [i6]Dewald Homan, Johan A. du Preez:
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning. CoRR abs/2110.03994 (2021) - [i5]Jacques van Wyk, Jaco Versfeld, Johan A. du Preez:
Temporal separation of whale vocalizations from background oceanic noise using a power calculation. CoRR abs/2110.10010 (2021) - [i4]Rebecca M. C. Taylor, Johan A. du Preez:
Variational message passing (VMP) applied to LDA. CoRR abs/2111.01480 (2021) - 2020
- [i3]Emile R. Engelbrecht, Johan A. du Preez:
Introduction to quasi-open set semi-supervised learning for big data analytics. CoRR abs/2002.01368 (2020) - 2019
- [i2]Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon:
Stabilising priors for robust Bayesian deep learning. CoRR abs/1910.10386 (2019) - 2013
- [i1]Niko Brummer, Johan A. du Preez:
The PAV algorithm optimizes binary proper scoring rules. CoRR abs/1304.2331 (2013)
Coauthor Index
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last updated on 2024-09-21 01:45 CEST by the dblp team
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