Maboud F. Kaloorazi

Orcid: 0000-0003-3385-9244

Affiliations:
  • Northwestern Polytechinical University, School of Marine Science and Technology, Xi'an, China
  • Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil (PhD 2018)


According to our database1, Maboud F. Kaloorazi authored at least 26 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
An efficient randomized QLP algorithm for approximating the singular value decomposition.
Inf. Sci., November, 2023

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol., June, 2023

Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition.
IEEE Access, 2023

2021
Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices.
IEEE Trans. Signal Process., 2021

Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach.
IEEE Trans. Signal Process., 2021

Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach.
IEEE Signal Process. Lett., 2021

A QLP Decomposition via Randomization.
CoRR, 2021

An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA.
Proceedings of the IEEE International Conference on Signal Processing, 2021

2020
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition.
IEEE Trans. Signal Process., 2020

Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information.
IEEE Trans. Computational Imaging, 2020

Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery.
IEEE Signal Process. Lett., 2019

Study of Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations in Data Science.
CoRR, 2019

Compressed Randomized Utv Decompositions for Low-rank Matrix Approximations in Data Science.
Proceedings of the IEEE International Conference on Acoustics, 2019

Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Subspace-Orbit Randomized Decomposition for Low-Rank Matrix Approximations.
IEEE Trans. Signal Process., 2018

Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations.
IEEE J. Sel. Top. Signal Process., 2018

Randomized Rank-Revealing UZV Decomposition for Low-Rank Approximation of Matrices.
CoRR, 2018

Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications.
CoRR, 2018

Subspace-Orbit Randomized Decomposition for Low-rank Matrix Approximation.
CoRR, 2018

Subspace-Orbit Randomized - Based Decomposition for Low-Rank Matrix Approximations.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Study of Anomaly Detection Based on Randomized Subspace Methods in IP Networks.
CoRR, 2017

Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Anomaly detection in IP networks based on randomized subspace methods.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Switched-randomized robust PCA for foreground and background separation in video surveillance.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016


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