Reshad Hosseini
Orcid: 0000-0002-3669-760X
According to our database1,
Reshad Hosseini
authored at least 55 papers
between 2005 and 2025.
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Bibliography
2025
Water Flow Detection Device Based on Sound Data Analysis and Machine Learning to Detect Water Leakage.
CoRR, January, 2025
A novel theoretical analysis on optimal pipeline of multi-frame image super-resolution using sparse coding.
Signal Process. Image Commun., 2025
Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach.
Neurocomputing, 2025
2024
IEEE Embed. Syst. Lett., December, 2024
Vis. Comput., September, 2024
J. Intell. Robotic Syst., September, 2024
SIAM J. Matrix Anal. Appl., 2024
Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models.
Pattern Recognit. Lett., 2024
Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets.
CoRR, 2024
2023
J. Vis. Commun. Image Represent., February, 2023
Self-attention presents low-dimensional knowledge graph embeddings for link prediction.
Knowl. Based Syst., 2023
CoRR, 2023
Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective.
CoRR, 2023
Predicting the neural response of primary visual cortex (v1) using deep learning approach.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023
2022
Pattern Recognit., 2022
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition.
CoRR, 2022
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model.
CoRR, 2022
Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks.
CoRR, 2022
2021
IEEE Trans. Robotics, 2021
Pattern Recognit., 2021
Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration.
CoRR, 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization.
Math. Program., 2020
IET Image Process., 2020
Evol. Syst., 2020
2019
Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019
2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
CoRR, 2017
2016
Pattern Recognit. Lett., 2016
Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions.
Entropy, 2016
Comput. Stat. Data Anal., 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
SIAM J. Optim., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2013
Geometric optimisation on positive definite matrices for elliptically contoured distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
PhD thesis, 2012
2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005