Johan A. du Preez

According to our database, Johan A. du Preez authored at least 46 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Low-density parity-check codes: tracking non-stationary channel noise using sequential variational Bayesian estimates.

J. du Toit, Johan A. du Preez, Riaan Wolhuter

Telecommun. Syst., February, 2024

2023

Soft-output signal detection for cetacean vocalizations using spectral entropy, k-means clustering and the continuous wavelet transform.

M. W. Rademan, Daniel J. J. Versfeld, Johan A. du Preez

Ecol. Informatics, May, 2023

Linking generative semi-supervised learning and generative open-set recognition.

Emile Reyn Engelbrecht, Johan A. du Preez

CoRR, 2023

2022

Efficient approximations of the multi-sensor labelled multi-Bernoulli filter.

Stuart C. J. Robertson, Corné E. van Daalen, Johan A. du Preez

Signal Process., 2022

Degenerate Gaussian factors for probabilistic inference.

J. C. Schoeman, Corné E. van Daalen, Johan A. du Preez

Int. J. Approx. Reason., 2022

Temporal separation of whale vocalizations from background oceanic noise using a power calculation.

Jacques van Wyk, Johan A. du Preez, Jaco Versfeld

Ecol. Informatics, 2022

Rail break and derailment prediction using Probabilistic Graphical Modelling.

Rebecca M. C. Taylor, Johan A. du Preez

CoRR, 2022

LDPC codes: tracking non-stationary channel noise using sequential variational Bayesian estimates.

J. du Toit, Johan A. du Preez, Riaan Wolhuter

CoRR, 2022

LDPC codes: comparing cluster graphs to factor graphs.

J. du Toit, Johan A. du Preez, Riaan Wolhuter

CoRR, 2022

ALBU: An Approximate Loopy Belief Message Passing Algorithm for LDA for Small Data Sets.

Rebecca M. C. Taylor, Johan A. du Preez

Proceedings of the Intelligent Computing, 2022

A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery.

Werner van der Merwe, Herman Kamper, Johan Adam du Preez

Proceedings of the Interspeech 2022, 2022

SimLDA: A Tool for Topic Model Evaluation.

Rebecca M. C. Taylor, Johan A. du Preez

Proceedings of the Future Technologies Conference, 2022

2021

Automated feature-specific tree species identification from natural images using deep semi-supervised learning.

Dewald Homan, Johan A. du Preez

Ecol. Informatics, 2021

Mobile Processor Energy Usage in the Scientific Environment.

Willem A. Smit, Johan A. du Preez, Guy A. E. Vandenbosch

Comput. Sci. Eng., 2021

Variational message passing (VMP) applied to LDA.

Rebecca M. C. Taylor, Johan A. du Preez

CoRR, 2021

A Probabilistic Graphical Model Approach to the Structure-and-Motion Problem.

Simon Streicher, Willie Brink, Johan A. du Preez

CoRR, 2021

Graph Coloring: Comparing Cluster Graphs to Factor Graphs.

Simon Streicher, Johan A. du Preez

CoRR, 2021

ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets.

Rebecca M. C. Taylor, Johan A. du Preez

CoRR, 2021

Strengthening Probabilistic Graphical Models: The Purge-and-Merge Algorithm.

Simon Streicher, Johan A. du Preez

IEEE Access, 2021

2020

Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size.

Francois Kamper, Sarel Steel, Johan A. du Preez

J. Mach. Learn. Res., 2020

Introduction to quasi-open set semi-supervised learning for big data analytics.

Emile R. Engelbrecht, Johan A. du Preez

CoRR, 2020

2019

On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size.

Francois Kamper, Sarel Steel, Johan A. du Preez

J. Mach. Learn. Res., 2019

A Cluster Graph Approach to Land Cover Classification Boosting.

Lloyd Haydn Hughes, Simon Streicher, Ekaterina Chuprikova, Johan A. du Preez

Data, 2019

Stabilising priors for robust Bayesian deep learning.

Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon

CoRR, 2019

2018

Regularized Gaussian belief propagation.

Francois Kamper, Johan A. du Preez, Sarel Steel, Stephan Wagner

Stat. Comput., 2018

2017

SAWACMMM'17: The 1st Workshop on Multi Media Applications within the South African Context.

Johan A. du Preez, Riaan Wolhuter, Ben M. Herbst, Nicu Sebe, Vincent Oria

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2013

The PAV algorithm optimizes binary proper scoring rules

Niko Brummer, Johan A. du Preez

CoRR, 2013

Left ventricular segmentation from MRI datasets with edge modelling conditional random fields.

Janto F. Dreijer, Ben M. Herbst, Johan A. du Preez

BMC Medical Imaging, 2013

2010

Efficient backward decoding of high-order hidden Markov models.

Herman Arnold Engelbrecht, Johan A. du Preez

Pattern Recognit., 2010

Audio-Visual Speech Recognition using SciPy.

Helge Reikeras, Ben M. Herbst, Johan A. du Preez, Herman A. Engelbrecht

Proceedings of the 9th Python in Science Conference 2010 (SciPy 2010), Austin, Texas, June 28, 2010

2009

A pseudo-skeletonization algorithm for static handwritten scripts.

Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst

Int. J. Document Anal. Recognit., 2009

2008

Verification of dynamic curves extracted from static handwritten scripts.

Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst

Pattern Recognit., 2008

Construction of an Image Quality Assessment Model for Use on Board an Leo Satellite.

Izak van Zyl Marais, Willem Herman Steyn, Johan A. du Preez

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2006

Application-independent evaluation of speaker detection.

Niko Brümmer, Johan A. du Preez

Comput. Speech Lang., 2006

2005

Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models.

Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models.

Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004

Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model.

Johannes Coetzer, Ben M. Herbst, Johan A. du Preez

EURASIP J. Adv. Signal Process., 2004

2003

Automatic syllabification using hierarchical hidden Markov models.

Pieter Nel, Johan A. du Preez

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2001

Phoneme-based topic spotting on the switchboard corpus.

M. W. Theunissen, Konrad Scheffler, Johan A. du Preez

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000

Developing a Multilingual Telephone Based Information System in African Languages.

Justus C. Roux, Elizabeth C. Botha, Johan A. du Preez

Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Automatic language identification using mixed-order HMMs and untranscribed corpora.

Ludwig Schwardt, Johan A. du Preez

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Efficient mixed-order hidden Markov model inference.

Ludwig Schwardt, Johan A. du Preez

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1998

Efficient training of high-order hidden Markov models using first-order representations.

Johan A. du Preez

Comput. Speech Lang., 1998

Automatic language recognition using high-order HMMs.

Johan A. du Preez, David M. Weber

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Efficient high-order hidden Markov modelling.

Johan A. du Preez, David M. Weber

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

1992

The automatic recognition of stop consonants using hidden Markov models.

T. Waardenburg, Johan A. du Preez, M. W. Coetzer

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992