Publications
Book Chapters
[B1] Y. Kopsinis, S. Chouvardas and S. Theodoridis “Sparse Models in Echo Cancellation: When the Old Meets The New,” In Trends in Digital Signal Processing: A Festschrift in Honour of Tony Constantinides, Edited by Yong Ching Lim, Hon Keung Kwan, and Wan-Chi Siu, Pan Stanford Publishing, 2016 (to appear)
[B2] S. Chouvardas, Y. Kopsinis, and S. Theodoridis, "Sparsity–Aware Distributed Learning," In Tom Luo, Alfred Hero, Jose Moura, Shuguang Cui (eds), Big Data over Networks, Cambridge University Press, 2015 (to appear).
[B3] S. Theodoridis, Y. Kopsinis, and K. Slavakis, "Sparsity-aware learning and compressed sensing: An overview," In Academic Press Library in Signal Processing: Volume 1 Signal Processing Theory and Machine Learning, vol. 1, ch. 23, pp. 1271-1377, Elsevier, 2014.
Journal and Conference Publications (peer reviewed)
[1] S. Chouvardas, Y. Kopsinis, S. Theodoridis "Robust SubspaceTracking with Missing Entries: a Set–Theoretic approach," To appear in IEEE Trans. on Signal Processing.
[2] Yannis Kopsinis, S. Chouvardas, S. Theodoridis, “Distributed Robust Subspace Tracking”, Submitted to Eusipco 2015.
[3] Yannis Kopsinis, S. Chouvardas, S. Theodoridis, “Iterative Randomized Robust Linear Regression,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane Australia, 19-24 April, 2015
[4] A.Pikrakis, Y. Kopsinis, S. Chouvardas, S. Theodoridis, “Pattern Classification Formulated as a Missing Data Task: The Audio Genre Classification Case, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane Australia, 19-24 April, 2015
[5] S. Chouvardas, Y. Kopsinis, S. Theodoridis, “An Online Algorithm for Distributed Dictionary Learning,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane Australia, 19-24 April, 2015
[6] Y. Kopsinis, S. Chouvardas, S. Theodoridis, “Sparsity-Aware Learning in the Context of Echo Cancelation: A Set Theoretic Estimation Approach,” 19th European Signal Processing Conference (EUSIPCO – 2014), Lisbon, Portugal, 2014.
[7] Y. Kopsinis, H. Georgiou, S. Theodoridis, “fMRI Unmixing Via Properly Adjusted Dictionary Learning,” 19th European Signal Processing Conference (EUSIPCO – 2014), Lisbon, Portugal, 2014.
[8] S. Chouvardas, Y. Kopsinis, S. Theodoridis, “An Adaptive Projected Subgradient based Algorithm for Robust Subspace Tracking,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence: Italy, May, 2014.
[9] K. Slavakis, Y. Kopsinis, S. Theodoridis, G. B. Giannakis, and V. Kekatos. “Generalized iterative thresholding for sparsity-aware online Volterra system identification,” In Proc. of International Symposium on Wireless Communication Systems (ISWCS), Ilmenau: Germany, Aug. 27-30, 2013.
[10] S. Theodoridis, Y. Kopsinis, K. Slavakis, and S. Chouvardas, “Sparsity-aware adaptive learning: A set theoretic estimation approach”, In Proc. of IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP), Caen: France, July 3-5, 2013, (invited - plenary paper).
[11] , Y. Kopsinis K. Slavakis, S. Theodoridis, “New operators for fixed-point theory: The sparsity-aware learning case” In Proc. of EUSIPCO (special session "Advances in set theoretic estimation and convex analysis for machine learning and signal processing tasks"), Marrakech, Morocco, Sept. 9-13, 2013.
[12] K. Slavakis, Y. Kopsinis, S. Theodoridis, and S. McLaughlin, “Generalized thresholding and online sparsity-aware learning in a union of subspaces,” IEEE Transactions on Signal Processing, vol. 61, no. 15, pp. 3760-3773, 2013.
[13] Y. Kopsinis, K. Slavakis, S. Theodoridis, and S. McLaughlin, “Thresholding-based sparsity-promoting online algorithms of low complexity,” In Proc. of ISCAS, Beijing, China, May 19-23, 2013.