Konstantinos Koutroumbas

According to our database, Konstantinos Koutroumbas authored at least 60 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discrimination of Fe-Ni-Laterites from Bauxites Using a Novel Support Vector Machines-Based Methodology on Sentinel-2 Data.

Alexandra Anifadi, Olga Sykioti, Konstantinos Koutroumbas, Emmanuel Vassilakis, Charalampos Vasilatos, Emil Georgiou

Remote. Sens., July, 2024

2022

A new stochastic gradient descent possibilistic clustering algorithm.

Angeliki Koutsimpela, Konstantinos D. Koutroumbas

AI Commun., 2022

2020

Online Reweighted Least Squares Robust PCA.

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

IEEE Signal Process. Lett., 2020

Spectral Unmixing for Mapping a Hydrothermal Field in a Volcanic Environment Applied on ASTER, Landsat-8/OLI, and Sentinel-2 MSI Satellite Multispectral Data: The Nisyros (Greece) Case Study.

Athanasia-Maria Tompolidi, Olga Sykioti, Konstantinos Koutroumbas, Issaak S. Parcharidis

Remote. Sens., 2020

Stochastic gradient descent possibilistic clustering.

Aggeliki Koutsibella, Konstantinos D. Koutroumbas

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

2019

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

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

IEEE Trans. Signal Process., 2019

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

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Spectral Clustering.

Sergios Theodoridis, Konstantinos Koutroumbas

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

On the Convergence of the Sparse Possibilistic C-Means Algorithm.

Konstantinos D. Koutroumbas, Spyridoula D. Xenaki, Athanasios A. Rontogiannis

IEEE Trans. Fuzzy Syst., 2018

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

Konstantinos D. Koutroumbas

IEEE Trans. Fuzzy Syst., 2018

A Computationally Efficient Tensor Completion Algorithm.

Ioannis C. Tsaknakis, Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Signal Process. Lett., 2018

Generalized Adaptive Possibilistic C-Means Clustering Algorithm.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Robust PCA via Alternating Iteratively Reweighted Low-Rank Matrix Factorization.

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

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Novel Online Generalized Possibilistic Clustering Algorithm for Big Data Processing.

Spyridoula D. Xenaki, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the 26th European Signal Processing Conference, 2018

2017

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

Eleftheria A. Mylona, Olga A. Sykioti, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

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

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos D. Koutroumbas

Signal Process., 2017

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

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

CoRR, 2017

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

Proceedings of the 25th European Signal Processing Conference, 2017

2016

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

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

IEEE Trans. Signal Process., 2016

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

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Trans. Geosci. Remote. Sens., 2016

Sparsity-Aware Possibilistic Clustering Algorithms.

Spyridoula D. Xenaki, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis

IEEE Trans. Fuzzy Syst., 2016

A Novel Adaptive Possibilistic Clustering Algorithm.

Spyridoula D. Xenaki, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis

IEEE Trans. Fuzzy Syst., 2016

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

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

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Detecting hyperplane clusters with adaptive possibilistic clustering.

Konstantinos Koutroumbas, Spyridoula D. Xenaki, Athanasios A. Rontogiannis

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Hyperspectral image clustering using a novel efficient online possibilistic algorithm.

Spyridoula D. Xenaki, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the 24th European Signal Processing Conference, 2016

2015

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

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

A new sparsity-aware feature selection method for hyperspectral image clustering.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga A. Sykioti

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Joint spectral unmixing and clustering for identifying homogeneous regions in hyperspectral images.

Eleftheria A. Mylona, Olga A. Sykioti, Konstantinos Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Online Bayesian group sparse parameter estimation using a generalized inverse Gaussian Markov chain.

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

Proceedings of the 23rd European Signal Processing Conference, 2015

Online Bayesian low-rank subspace learning from partial observations.

Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

A Variational Bayes Framework for Sparse Adaptive Estimation.

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

IEEE Trans. Signal Process., 2014

A variational Bayes algorithm for joint-sparse abundance estimation.

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Sequential Sparse Adaptive Possibilistic Clustering.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

A layered sparse adaptive possibilistic approach for hyperspectral image clustering.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga Sykioti

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Sparse adaptive possibilistic clustering.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the IEEE International Conference on Acoustics, 2014

Adaptive variational sparse Bayesian estimation.

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

Proceedings of the IEEE International Conference on Acoustics, 2014

Group-sparse adaptive variational Bayes estimation.

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

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

A fast variational Bayes algorithm for sparse semi-supervised unmixing of OMEGA/Mars express data.

Athanasios A. Rontogiannis, Konstantinos Themelis, Olga Sykioti, Konstantinos Koutroumbas

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Adaptive possibilistic clustering.

Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013

Variational Bayesian sparse adaptive filtering using a Gauss-Seidel recursive approach.

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

Proceedings of the 21st European Signal Processing Conference, 2013

2012

A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing.

Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas

IEEE Trans. Signal Process., 2012

Piecewise Linear Curve Approximation Using Graph Theory and Geometrical Concepts.

Konstantinos Koutroumbas

IEEE Trans. Image Process., 2012

A fast algorithm for the Bayesian adaptive lasso.

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

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Sparse semi-supervised hyperspectral unmixing using a novel iterative Bayesian inference algorithm.

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

Proceedings of the 19th European Signal Processing Conference, 2011

2010

On the Approximation Capabilities of Hard Limiter Feedforward Neural Networks.

Konstantinos Koutroumbas, Yannis Bakopoulos

Proceedings of the Artificial Intelligence: Theories, 2010

Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso.

Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Spectral Clustering.

Sergios Theodoridis, Konstantinos Koutroumbas

Proceedings of the Encyclopedia of Database Systems, 2009

2008

Pattern Recognition.

Sergios Theodoridis, Konstantinos Koutroumbas

IEEE Trans. Neural Networks, 2008

A Hamming Maxnet That Determines all the Maxima.

Konstantinos Koutroumbas

Proceedings of the Artificial Intelligence: Theories, 2008

2007

Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule.

Nicholas Kalouptsidis, Konstantinos Koutroumbas, V. Psaraki

Eur. J. Oper. Res., 2007

2006

Discrimination of Benign from Malignant Breast Lesions Using Statistical Classifiers.

Konstantinos Koutroumbas, Abraham Pouliakis, Tatiana Mona Megalopoulou, John Georgoulakis, Anna-Eva Giachnaki, Petros Karakitsos

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

2005

COMAX: A Cooperative Method for Determining the Position of the Maxima.

Konstantinos Koutroumbas

Neural Process. Lett., 2005

Generalized hamming networks and applications.

Konstantinos Koutroumbas, Nicholas Kalouptsidis

Neural Networks, 2005

2004

Recurrent Algorithms for Selecting the Maximum Input.

Konstantinos Koutroumbas

Neural Process. Lett., 2004

2003

On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes.

Konstantinos Koutroumbas

Neural Comput., 2003

2001

Pattern Recognition and Neural Networks.

Sergios Theodoridis, Konstantinos Koutroumbas

Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

1999

Pattern recognition.

Sergios Theodoridis, Konstantinos Koutroumbas

Academic Press, ISBN: 978-0-12-686140-2, 1999

1998

Neural network architectures for selecting the maximum input.

Konstantinos Koutroumbas, Nicholas Kalouptsidis

Int. J. Comput. Math., 1998

Divide and conquer algorithms for constructing neural networks architectures.

Konstantinos Koutroumbas, Abraham Pouliakis, Nicholas Kalouptsidis

Proceedings of the 9th European Signal Processing Conference, 1998

1994

Qualitative analysis of the parallel and asynchronous modes of the Hamming network.

Konstantinos Koutroumbas, Nicholas Kalouptsidis

IEEE Trans. Neural Networks, 1994