Konstantinos Koutroumbas

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 11

Top Topics

Support Vector Machine

Possibilistic Clustering

Top Venues

Publications

Alexandra Anifadi, Olga Sykioti, Konstantinos Koutroumbas, Emmanuel Vassilakis, Charalampos Vasilatos, Emil Georgiou
Discrimination of Fe-Ni-Laterites from Bauxites Using a Novel Support Vector Machines-Based Methodology on Sentinel-2 Data. Remote. Sens. 16 (13) (2024)
Athanasia-Maria Tompolidi, Olga Sykioti, Konstantinos Koutroumbas, Issaak Parcharidis
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. Remote. Sens. 12 (24) (2020)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Generalized Adaptive Possibilistic C-Means Clustering Algorithm. SETN (2018)
Konstantinos Koutroumbas, Spyridoula D. Xenaki, Athanasios A. Rontogiannis
Detecting hyperplane clusters with adaptive possibilistic clustering. SETN (2016)
Paris Giampouras, Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing. CoRR (2015)
Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas
Online Bayesian low-rank subspace learning from partial observations. EUSIPCO (2015)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Online Bayesian group sparse parameter estimation using a generalized inverse Gaussian Markov chain. EUSIPCO (2015)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Sparsity-aware Possibilistic Clustering Algorithms. CoRR (2015)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga A. Sykioti
A new sparsity-aware feature selection method for hyperspectral image clustering. IGARSS (2015)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
On the convergence of the sparse possibilistic c-means algorithm. CoRR (2015)
Eleftheria A. Mylona, Olga A. Sykioti, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Joint spectral unmixing and clustering for identifying homogeneous regions in hyperspectral images. IGARSS (2015)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga Sykioti
A layered sparse adaptive possibilistic approach for hyperspectral image clustering. IGARSS (2014)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
A Variational Bayes Framework for Sparse Adaptive Estimation. IEEE Trans. Signal Process. 62 (18) (2014)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Sparse adaptive possibilistic clustering. ICASSP (2014)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Sequential Sparse Adaptive Possibilistic Clustering. SETN (2014)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Group-sparse adaptive variational Bayes estimation. EUSIPCO (2014)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
A Novel Adaptive Possibilistic Clustering Algorithm. CoRR (2014)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Adaptive variational sparse Bayesian estimation. ICASSP (2014)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Variational Bayesian sparse adaptive filtering using a Gauss-Seidel recursive approach. EUSIPCO (2013)
Athanasios A. Rontogiannis, Konstantinos Themelis, Olga Sykioti, Konstantinos Koutroumbas
A fast variational Bayes algorithm for sparse semi-supervised unmixing of OMEGA/Mars express data. WHISPERS (2013)
Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
Adaptive possibilistic clustering. ISSPIT (2013)
Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing. IEEE Trans. Signal Process. 60 (2) (2012)
Konstantinos Koutroumbas
Piecewise Linear Curve Approximation Using Graph Theory and Geometrical Concepts. IEEE Trans. Image Process. 21 (9) (2012)
Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas
A fast algorithm for the Bayesian adaptive lasso. EUSIPCO (2012)
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Sparse semi-supervised hyperspectral unmixing using a novel iterative Bayesian inference algorithm. EUSIPCO (2011)
Konstantinos Koutroumbas, Yannis Bakopoulos
On the Approximation Capabilities of Hard Limiter Feedforward Neural Networks. SETN (2010)
Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso. ICASSP (2010)
Konstantinos Koutroumbas
A Hamming Maxnet That Determines all the Maxima. SETN (2008)
Sergios Theodoridis, Konstantinos Koutroumbas
Pattern Recognition. IEEE Trans. Neural Networks 19 (2) (2008)
Nicholas Kalouptsidis, Konstantinos Koutroumbas, V. Psaraki
Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule. Eur. J. Oper. Res. 176 (3) (2007)
Konstantinos Koutroumbas, Abraham Pouliakis, Tatiana Mona Megalopoulou, John Georgoulakis, Anna-Eva Giachnaki, Petros Karakitsos
Discrimination of Benign from Malignant Breast Lesions Using Statistical Classifiers. SETN (2006)
Konstantinos Koutroumbas
COMAX: A Cooperative Method for Determining the Position of the Maxima. Neural Process. Lett. 22 (2) (2005)
Konstantinos Koutroumbas, Nicholas Kalouptsidis
Generalized hamming networks and applications. Neural Networks 18 (7) (2005)
Konstantinos Koutroumbas
Recurrent Algorithms for Selecting the Maximum Input. Neural Process. Lett. 20 (3) (2004)
Konstantinos Koutroumbas
On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes. Neural Comput. 15 (10) (2003)
Sergios Theodoridis, Konstantinos Koutroumbas
Pattern Recognition and Neural Networks. Machine Learning and Its Applications (2001)
Konstantinos Koutroumbas, Nicholas Kalouptsidis
Neural network architectures for selecting the maximum input. Int. J. Comput. Math. 67 (1-2) (1998)
Konstantinos Koutroumbas, Abraham Pouliakis, Nicholas Kalouptsidis
Divide and conquer algorithms for constructing neural networks architectures. EUSIPCO (1998)
Konstantinos Koutroumbas, Nicholas Kalouptsidis
Qualitative analysis of the parallel and asynchronous modes of the Hamming network. IEEE Trans. Neural Networks 5 (3) (1994)