Johan A. du Preez

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 30

Top Topics

Small Data Sets

Variational Bayesian

Top Venues

Ecol. Informatics

J. Mach. Learn. Res.

Int. J. Approx. Reason.

Publications

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) (2024)
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 (2023)
Emile Reyn Engelbrecht, Johan A. du Preez
Linking generative semi-supervised learning and generative open-set recognition. CoRR (2023)
J. du Toit, Johan A. du Preez, Riaan Wolhuter
LDPC codes: tracking non-stationary channel noise using sequential variational Bayesian estimates. CoRR (2022)
Werner van der Merwe, Herman Kamper, Johan A. du Preez
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery. CoRR (2022)
Rebecca M. C. Taylor, Johan A. du Preez
SimLDA: A Tool for Topic Model Evaluation. FTC (3) (2022)
Rebecca M. C. Taylor, Johan A. du Preez
SimLDA: A tool for topic model evaluation. CoRR (2022)
J. C. Schoeman, Corné E. van Daalen, Johan A. du Preez
Degenerate Gaussian factors for probabilistic inference. Int. J. Approx. Reason. 143 (2022)
J. du Toit, Johan A. du Preez, Riaan Wolhuter
LDPC codes: comparing cluster graphs to factor graphs. CoRR (2022)
Jacques van Wyk, Johan A. du Preez, Jaco Versfeld
Temporal separation of whale vocalizations from background oceanic noise using a power calculation. Ecol. Informatics 69 (2022)
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)
Rebecca M. C. Taylor, Johan A. du Preez
Rail break and derailment prediction using Probabilistic Graphical Modelling. CoRR (2022)
Stuart C. J. Robertson, Corné E. van Daalen, Johan A. du Preez
Efficient approximations of the multi-sensor labelled multi-Bernoulli filter. Signal Process. 199 (2022)
Willem A. Smit, Johan A. du Preez, Guy A. E. Vandenbosch
Mobile Processor Energy Usage in the Scientific Environment. Comput. Sci. Eng. 23 (3) (2021)
Simon Streicher, Johan A. du Preez
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm. CoRR (2021)
Simon Streicher, Johan A. du Preez
Graph Coloring: Comparing Cluster Graphs to Factor Graphs. CoRR (2021)
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 (2021)
Simon Streicher, Willie Brink, Johan A. du Preez
A Probabilistic Graphical Model Approach to the Structure-and-Motion Problem. CoRR (2021)
Rebecca M. C. Taylor, Johan A. du Preez
Variational message passing (VMP) applied to LDA. CoRR (2021)
Dewald Homan, Johan A. du Preez
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning. CoRR (2021)
Simon Streicher, Johan A. du Preez
Strengthening Probabilistic Graphical Models: The Purge-and-Merge Algorithm. IEEE Access 9 (2021)
J. C. Schoeman, C. E. van Daalen, Johan A. du Preez
Degenerate Gaussian factors for probabilistic inference. CoRR (2021)
Dewald Homan, Johan A. du Preez
Automated feature-specific tree species identification from natural images using deep semi-supervised learning. Ecol. Informatics 66 (2021)
Emile R. Engelbrecht, Johan A. du Preez
Introduction to quasi-open set semi-supervised learning for big data analytics. CoRR (2020)
Francois Kamper, Sarel Steel, Johan A. du Preez
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size. J. Mach. Learn. Res. 21 (2020)
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 (2019)
Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon
Stabilising priors for robust Bayesian deep learning. CoRR (2019)
Lloyd Haydn Hughes, Simon Streicher, Ekaterina Chuprikova, Johan A. du Preez
A Cluster Graph Approach to Land Cover Classification Boosting. Data 4 (1) (2019)
Francois Kamper, Johan A. du Preez, Sarel Steel, Stephan Wagner
Regularized Gaussian belief propagation. Stat. Comput. 28 (3) (2018)
Johan A. du Preez, Riaan Wolhuter, Ben M. Herbst, Nicu Sebe, Vincent Oria
SAWACMMM'17: The 1st Workshop on Multi Media Applications within the South African Context. ACM Multimedia (2017)
Niko Brummer, Johan A. du Preez
The PAV algorithm optimizes binary proper scoring rules CoRR (2013)
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 (2013)
Herman Arnold Engelbrecht, Johan A. du Preez
Efficient backward decoding of high-order hidden Markov models. Pattern Recognit. 43 (1) (2010)
Helge Reikeras, Ben M. Herbst, Johan A. du Preez, Herman A. Engelbrecht
Audio-Visual Speech Recognition using SciPy. SciPy (2010)
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
A pseudo-skeletonization algorithm for static handwritten scripts. Int. J. Document Anal. Recognit. 12 (1) (2009)
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
Verification of dynamic curves extracted from static handwritten scripts. Pattern Recognit. 41 (12) (2008)
Izak van Zyl Marais, Willem Herman Steyn, Johan A. du Preez
Construction of an Image Quality Assessment Model for Use on Board an Leo Satellite. IGARSS (2) (2008)
Niko Brümmer, Johan A. du Preez
Application-independent evaluation of speaker detection. Comput. Speech Lang. 20 (2-3) (2006)
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models. ICDAR (2005)
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. 27 (11) (2005)
Johannes Coetzer, Ben M. Herbst, Johan A. du Preez
Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model. EURASIP J. Adv. Signal Process. 2004 (4) (2004)
Pieter Nel, Johan A. du Preez
Automatic syllabification using hierarchical hidden Markov models. ICASSP (1) (2003)
M. W. Theunissen, K. Scheffler, Johan A. du Preez
Phoneme-based topic spotting on the switchboard corpus. INTERSPEECH (2001)
Justus C. Roux, Elizabeth C. Botha, Johan A. du Preez
Developing a Multilingual Telephone Based Information System in African Languages. LREC (2000)
Ludwig Schwardt, Johan A. du Preez
Automatic language identification using mixed-order HMMs and untranscribed corpora. INTERSPEECH (2000)
Ludwig Schwardt, Johan A. du Preez
Efficient mixed-order hidden Markov model inference. INTERSPEECH (2000)
Johan A. du Preez
Efficient training of high-order hidden Markov models using first-order representations. Comput. Speech Lang. 12 (1) (1998)
Johan A. du Preez, D. M. Weber
Efficient high-order hidden Markov modelling. ICSLP (1998)
Johan A. du Preez, D. M. Weber
Automatic language recognition using high-order HMMs. ICSLP (1998)
T. Waardenburg, Johan A. du Preez, M. W. Coetzer
The automatic recognition of stop consonants using hidden Markov models. ICASSP (1992)