Paris V. Giampouras

发表

Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ℓ1 regularization

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Low-rank and sparse NMF for joint endmembers' number estimation and blind unmixing of hyperspectral images

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A Computationally Efficient Tensor Completion Algorithm

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2018, IEEE Signal Processing Letters.

Online Reweighted Least Squares Robust PCA

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2020, IEEE Signal Processing Letters.

Online sparse and low-rank subspace learning from incomplete data: A Bayesian view

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2017, Signal Process..

Alternating Iteratively Reweighted Least Squares Minimization for Low-Rank Matrix Factorization

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2019, IEEE Transactions on Signal Processing.

Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization pdf

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2017, ArXiv.

Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2015, IEEE Transactions on Geoscience and Remote Sensing.

A variational Bayes algorithm for joint-sparse abundance estimation

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2016, 1602.03670.

A Projected Newton-type Algorithm for Nonnegative Matrix Factorization with Model Order Selection

Konstantinos Koutroumbas, Paris V. Giampouras, Athanasios A. Rontogiannis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust PCA via Alternating Iteratively Reweighted Low-Rank Matrix Factorization

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Block-Term Tensor Decomposition: Model Selection and Computation

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Block-Term Tensor Decomposition: Model Selection and Computation

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2021, IEEE Journal of Selected Topics in Signal Processing.

Online Rank-Revealing Block-Term Tensor Decomposition pdf

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Block-Term Tensor Decomposition: Model Selection and Computation

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Rank-Revealing Block-Term Decomposition for Tensor Completion

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension

Paris V. Giampouras, Benjamin D. Haeffele, Ren'e Vidal, 2022 .

A sparse reduced-rank regression approach for hyperspectral image unmixing

Paris V. Giampouras, K. Koutroumbas, A. Rontogiannis, 2015, 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).

An IRLS Approach for Low-Rank Matrix Factorization

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2019 .

`1/`2 regularized non-convex low-rank matrix factorization

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, 2017 .

Linear approximation of Rayleigh-Brillouin scattering spectra.

Paris V. Giampouras, L. Belegante, I. Binietoglou, 2016, Applied optics.

Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way

Paris V. Giampouras, Eleftherios Kofidis, A. Rontogiannis, 2021, IEEE Transactions on Signal Processing.

A Projected Newton-type Algorithm for Rank - revealing Nonnegative Block - Term Tensor Decomposition

Paris V. Giampouras, Eleftherios Kofidis, A. Rontogiannis, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Artificial Neural Network Approach for Land Cover Classification of Fused Hyperspectral and Lidar Data

Eleni Charou, Paris V. Giampouras, Anastasios L. Kesidis, 2013, AIAI.

The Ideal Continual Learner: An Agent That Never Forgets

Paris V. Giampouras, René Vidal, Liangzu Peng, 2023, ArXiv.

Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees

Paris V. Giampouras, R. Vidal, D. Thaker, 2022, 2203.04886.

The Ideal Continual Learner: An Agent That Never Forgets

Paris V. Giampouras, René Vidal, Liangzu Peng, 2023, ICML.

A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions

Paris V. Giampouras, René Vidal, D. Thaker, 2023, ArXiv.