Mohsen Joneidi

Orcid: 0000-0001-5955-4049

According to our database1, Mohsen Joneidi authored at least 32 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing.
CoRR, 2023

2022
Neural Routing in Meta Learning.
CoRR, 2022

Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning.
IEEE Access, 2022

2021
Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

BATS: A Blockchain-based Authentication and Trust Management System in Vehicular Networks.
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

2020
E-Optimal Sensor Selection for Compressive Sensing-Based Purposes.
IEEE Trans. Big Data, 2020

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks Using Hyperledger Fabric.
CoRR, 2019

Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks.
CoRR, 2019

Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition.
CoRR, 2019

Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

AI-Enabled Blockchain: An Outlier-Aware Consensus Protocol for Blockchain-Based IoT Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks.
IEEE Trans. Cogn. Commun. Netw., 2018

2017
Joint Dictionary Learning for Example-based Image Super-resolution.
CoRR, 2017

Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

Dynamic Sensor Selection for Reliable Spectrum Sensing via E-Optimal Criterion.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

Adaptive non-uniform compressive sampling for time-varying signals.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
Union of low-rank subspaces detector.
IET Signal Process., 2016

2015
A Study on Clustering for Clustering Based Image De-Noising.
CoRR, 2015

Missing spectrum-data recovery in cognitive radio networks using piecewise constant Nonnegative Matrix Factorization.
Proceedings of the 34th IEEE Military Communications Conference, 2015

Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

LFM signal detection and estimation based on sparse representation.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance.
CoRR, 2014

Outlier-aware dictionary learning for sparse representation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A study on clustering-based image denoising: From global clustering to local grouping.
Proceedings of the 22nd European Signal Processing Conference, 2014

K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
State-Dependent Z Channel
CoRR, 2013

A Union of Low-Rank Subspaces Detector: Application to Radar Signal Detection and Voice Activity Detection.
CoRR, 2013

Sparse Auto-Regressive: Robust Estimation of AR Parameters.
CoRR, 2013

Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces.
Proceedings of the 21st European Signal Processing Conference, 2013


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