Samr Ali

Orcid: 0000-0003-4068-709X

Affiliations:
  • Abu Dhabi University, Abu Dhabi, United Arab Emirates
  • Concordia University, Montreal, Canada


According to our database1, Samr Ali authored at least 27 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Bayesian inference for infinite asymmetric Gaussian mixture with feature selection.
Soft Comput., 2021

Efficient Parameter Based Online Object Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection.
IET Image Process., 2020

Multimodal action recognition using variational-based Beta-Liouville hidden Markov models.
IET Image Process., 2020

Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution.
Digit. Signal Process., 2020

Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks.
IEEE Access, 2020

Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Variational Inference of Finite Asymmetric Gaussian Mixture Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Variational Inference of Finite Generalized Gaussian Mixture Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines.
Proceedings of the IEEE International Symposium on Multimedia, 2019

Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017
Integration of solar energy and optimized economic dispatch using genetic algorithm: A case-study of Abu Dhabi.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

IntelliMeet: Collaborative Mobile Framework for Automated Participation Assessment.
Proceedings of the 5th International Conference on Future Internet of Things and Cloud Workshops, 2017

Real-time Heart Attack Mobile Detection Service (RHAMDS): An IoT use case for Software Defined Networks.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
A framework for teaching robotic control using a novel visual programming language.
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016

Towards Secure Mobile Process Tracking Using Wearable Computing in mGovernment Applications.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016

Smart Mobile-Based Emergency Management and Notification System.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016

2015
Novel vegetation estimation index computation in arid environments.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Mobile-Based Archival and Retrieval of Missing Objects Using Image Matching.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015


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