Muhammad Azam
Orcid: 0000-0003-1904-7338Affiliations:
- Concordia University, Montreal, QC, Canada
According to our database1,
Muhammad Azam
authored at least 26 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Sensors, October, 2023
Pattern Anal. Appl., August, 2023
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.
Neural Comput. Appl., 2022
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.
Expert Syst. Appl., 2022
Proceedings of the IEEE International Conference on Industrial Technology, 2022
2021
Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection.
Expert Syst. J. Knowl. Eng., 2021
Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
2019
Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
2018
Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
2016
Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016
2015
Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015