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ORCIDMaboud F. Kaloorazi
Person information
- affiliation: Northwestern Polytechinical University, School of Marine Science and Technology, Xi'an, China
- affiliation (PhD 2018): Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil
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2020 – today
- 2024
[j12]Maboud F. Kaloorazi
, S. Ahmadi-Asl, Susanto Rahardja:
Randomized two-sided subspace iteration for low-rank matrix and tensor decomposition. Digit. Signal Process. 149: 104472 (2024)- 2023
- [j11]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja:
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition. IEEE Access 11: 63650-63666 (2023) - [j10]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare:
An efficient randomized QLP algorithm for approximating the singular value decomposition. Inf. Sci. 648: 119464 (2023) - [j9]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm. IEEE Trans. Veh. Technol. 72(6): 7597-7612 (2023) - 2022
- [i8]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja:
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition. CoRR abs/2209.12464 (2022) - 2021
- [j8]Haoyuan Cai, Yingke Zhao, Jie Chen, Wei Chen, Maboud F. Kaloorazi:
Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach. IEEE Signal Process. Lett. 28: 404-408 (2021) - [j7]Maboud F. Kaloorazi, Jie Chen:
Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices. IEEE Trans. Signal Process. 69: 2218-2232 (2021) - [j6]Haoyuan Cai, Maboud Farzaneh Kaloorazi, Jie Chen:
Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach. IEEE Trans. Signal Process. 69: 2435-2451 (2021) - [c9]Maboud F. Kaloorazi, Jie Chen, Fei Li, Dan Wu:
An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA. ICSPCC 2021: 1-5 - [i7]Maboud F. Kaloorazi, Jie Chen:
Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices. CoRR abs/2103.07245 (2021) - [i6]Maboud F. Kaloorazi, Jie Chen, Rodrigo C. de Lamare:
A QLP Decomposition via Randomization. CoRR abs/2110.01011 (2021) - 2020
- [j5]Longbin Yan, Xiuheng Wang, Min Zhao, Maboud F. Kaloorazi, Jie Chen, Susanto Rahardja:
Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information. IEEE Trans. Computational Imaging 6: 1070-1081 (2020) - [j4]Maboud F. Kaloorazi, Jie Chen:
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition. IEEE Trans. Signal Process. 68: 3575-3589 (2020) - [c8]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. EUSIPCO 2020: 2353-2357 - [c7]Maboud Farzaneh Kaloorazi, Jie Chen:
Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization. ICASSP 2020: 5815-5819
2010 – 2019
- 2019
- [j3]Maboud Farzaneh Kaloorazi, Jie Chen:
Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery. IEEE Signal Process. Lett. 26(7): 1075-1079 (2019) - [c6]Maboud F. Kaloorazi, Jie Chen:
Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition. ICASSP 2019: 7475-7479 - [c5]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Compressed Randomized Utv Decompositions for Low-rank Matrix Approximations in Data Science. ICASSP 2019: 7510-7514 - [i5]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Study of Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations in Data Science. CoRR abs/1906.04572 (2019) - 2018
- [j2]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations. IEEE J. Sel. Top. Signal Process. 12(6): 1155-1169 (2018) - [j1]Maboud Farzaneh Kaloorazi, Rodrigo C. de Lamare:
Subspace-Orbit Randomized Decomposition for Low-Rank Matrix Approximations. IEEE Trans. Signal Process. 66(16): 4409-4424 (2018) - [c4]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Subspace-Orbit Randomized - Based Decomposition for Low-Rank Matrix Approximations. EUSIPCO 2018: 2618-2622 - [i4]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Subspace-Orbit Randomized Decomposition for Low-rank Matrix Approximation. CoRR abs/1804.00462 (2018) - [i3]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications. CoRR abs/1810.07323 (2018) - [i2]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Randomized Rank-Revealing UZV Decomposition for Low-Rank Approximation of Matrices. CoRR abs/1811.08597 (2018) - 2017
- [c3]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Anomaly detection in IP networks based on randomized subspace methods. ICASSP 2017: 4222-4226 - [c2]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition. DSP 2017: 1-5 - [i1]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Study of Anomaly Detection Based on Randomized Subspace Methods in IP Networks. CoRR abs/1704.05741 (2017) - 2016
- [c1]Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Switched-randomized robust PCA for foreground and background separation in video surveillance. SAM 2016: 1-5
Coauthor Index
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