Reshad Hosseini

Orcid: 0000-0002-3669-760X

According to our database1, Reshad Hosseini authored at least 45 papers between 2005 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FRMDN: Flow-based Recurrent Mixture Density Network.
Expert Syst. Appl., March, 2024

2023
Online relational tracking with camera motion suppression.
J. Vis. Commun. Image Represent., February, 2023

Self-attention presents low-dimensional knowledge graph embeddings for link prediction.
Knowl. Based Syst., 2023

The optimal triangulation method is not really optimal.
IET Image Process., 2023

Out-of-distribution detection using normalizing flows on the data manifold.
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
Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects.
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

Fast Online and Relational Tracking.
CoRR, 2022

Joint Manifold Learning and Density Estimation Using Normalizing Flows.
CoRR, 2022

Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks.
CoRR, 2022

2021
Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization.
IEEE Trans. Robotics, 2021

A new EM algorithm for flexibly tied GMMs with large number of components.
Pattern Recognit., 2021

PerSpeechNorm: A Persian Toolkit for Speech Processing Normalization.
CoRR, 2021

Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration.
CoRR, 2021

Accurate and fast matrix factorization for low-rank learning.
CoRR, 2021

Learning with partially separable data.
CoRR, 2021

Simple online and real-time tracking with occlusion handling.
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

Deep visual unsupervised domain adaptation for classification tasks: a survey.
IET Image Process., 2020

Clustering subspace generalization to obtain faster reinforcement learning.
Evol. Syst., 2020

Reinforcement Learning with Subspaces using Free Energy Paradigm.
CoRR, 2020

Contour Integration using Graph-Cut and Non-Classical Receptive Field.
CoRR, 2020

FRMDN: Flow-based Recurrent Mixture Density Network.
CoRR, 2020

2019
Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Active Transfer Learning for Persian Offline Signature Verification.
CoRR, 2019

2018
Deep-RBF Networks Revisited: Robust Classification with Rejection.
CoRR, 2018

A Recursive Least Square Method for 3D Pose Graph Optimization Problem.
CoRR, 2018

A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Exploiting generalization in the subspaces for faster model-based learning.
CoRR, 2017

2016
Improved Bayesian information criterion for mixture model selection.
Pattern Recognit. Lett., 2016

Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions.
Entropy, 2016

Inference and mixture modeling with the Elliptical Gamma Distribution.
Comput. Stat. Data Anal., 2016

Geometric Mean Metric Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Conic Geometric Optimization on the Manifold of Positive Definite Matrices.
SIAM J. Optim., 2015

Manifold Optimization for Gaussian Mixture Models.
CoRR, 2015

MixEst: An Estimation Toolbox for Mixture Models.
CoRR, 2015

Matrix Manifold Optimization for Gaussian Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Data modeling with the elliptical gamma distribution.
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
Natural Image Modelling using Mixture Models with compression as an application.
PhD thesis, 2012

2005
Wavelet based fingerprint image enhancement.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005


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