Konstantinos D. Koutroumbas

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).

Sparsity-Aware Possibilistic Clustering Algorithms

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, 2015, IEEE Transactions on Fuzzy Systems.

A Computationally Efficient Tensor Completion Algorithm

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

Variational Bayes Group Sparse Time-Adaptive Parameter Estimation With Either Known or Unknown Sparsity Pattern

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Konstantinos Themelis, 2016, IEEE Transactions on Signal Processing.

On the unmixing of MEx/OMEGA hyperspectral data

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Olga Sykioti, 2010, 1112.1527.

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).

Introducing Sparsity in Possibilistic Clustering: A Unified Framework and a Line Detection Paradigm

Konstantinos D. Koutroumbas, K. Koutroumbas, 2018, IEEE Transactions on Fuzzy Systems.

Stochastic gradient descent possibilistic clustering

Konstantinos D. Koutroumbas, Aggeliki Koutsibella, 2020, SETN.

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

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

A Novel Adaptive Possibilistic Clustering Algorithm

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, 2014, IEEE Transactions on Fuzzy Systems.

A Novel Online Generalized Possibilistic Clustering Algorithm for Big Data Processing

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Eleftheria A. Mylona, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hyperspectral image clustering using a novel efficient online possibilistic algorithm

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

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).

On the Convergence of the Sparse Possibilistic C-Means Algorithm

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, 2015, IEEE Transactions on Fuzzy Systems.

An IRLS Approach for Low-Rank Matrix Factorization

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

On the efficient estimation of the mean of multivariate truncated normal distributions

Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Konstantinos E. Themelis, 2014 .

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

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