Kostas Diamantaras - Publications

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Research
Publications
Undergraduate Courses
Graduate Courses

Department of Information Technology
TEI of Thessaloniki

Links

Books

  1. Σ. Παπαδάκης, Κ. Διαμαντάρας, Προγραμματισμός και Αρχιτεκτονική Συστημάτων Παράλληλης Επεξεργασίας, Κλειδάριθμος, 2012
  2. Κ. Διαμαντάρας, Τεχνητά Νευρωνικά Δίκτυα, Κλειδάριθμος, 2007
  3. K. I. Diamantaras, S. Y. Kung, Principal Component Neural Networks: Theory and Applications, John Wiley, NY, 1996.

Book chapters

  1. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Kernel Subspace Methods for Pattern Classification", in Adaptive Learning Methods for Nonlinear System Modeling, D. Comminiello, J. Principe (eds), pp. 127-147, Elsevier, 2018
  2. K. I. Diamantaras, "Blind Signal Processing Based on Data Geometric Properties", in New Directions in Statistical Signal Processing: From Systems to Brain, S. Haykin, J. Principe, T. Sejnowski, and J. McWhirter (eds), MIT Press, 2006
  3. K. I. Diamantaras, "Neural Networks and Principal Component Analysis", in Handbook of Neural Networks for Signal Processing, Y.-H. Hu, J.-N. Hwang (eds.), CRC Press, 2001.
  4. S. Y. Kung, K. I. Diamantaras, J. S. Taur, "Neural Networks for Extracting Pure/Constrained/Oriented Principal Components", in SVD and Signal Processing II: Algorithms, Analysis and Applications, R. Vaccaro ed., pp. 57-81, Elsevier 1991.
  5. S. Y. Kung, K. I. Diamantaras, W. D. Mao, J. S. Taur, "Generalized Perceptron Networks with Nonlinear Discriminant Functions", in Neural Networks, Theory and Applications, R. J. Mammone and Y. Zeevi eds., pp. 245-279, Academic Press, 1991.

Journal articles

  1. S. Sevastas, D. Gasparatos, D. Botsis, I. Siarkos, K. I. Diamantaras, G. Bilas, "Predicting bulk density using pedotransfer functions for soils in the Upper Anthemountas basin, Greece", Geoderma Regional, Elsevier, available online 31/3/2018, https://doi.org/10.1016/j.GEODRS.2018.e00169
  2. G. A. Papakostas, K. I. Diamantaras, Th. Papadimitriou, "Parallel Pattern Classification Utilizing CPU Based Kernelized Slackmin Algorithm", Journal of Parallel and Distributed Computing, vol. 99, pp. 90-99, Elsevier, January 2017
  3. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "CLAss-specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification", IEEE Transactions on Neural Networks and Learning Systems, published online 7 Dec, 2016, DOI:10.1109/TNNLS.2016.2619399
  4. M. Giatsoglou, M. Vozalis, K. I. Diamantaras, A. Vakali, G. Sarigiannidis, K. Ch. Chatzisavvas, "Sentiment Analysis Leveraging Emotions and Word Embeddings", Expert Systems with Applications, vol. 69, pp. 214-224, Elsevier, 1 March 2017
  5. K. Goulianas, A. Margaris, I. Refanidis, K. I. Diamantaras, "Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm", European Journal of Applied Mathematics, 1-37. doi:10.1017/S0956792517000146, 2017
  6. S. Ougiaroglou, K. I. Diamantaras, G. Evangelidis, "Exploring the effect of Data Reduction on Neural Network and Support Vector Machine Classification", Neurocomputing, Elsevier, 2017 doi:10.1016/j.neucom.2017.08.076
  7. V. Plakandaras, Th. Papadimitriou, P. Gogas, K. I. Diamantaras, "Market Sentiment and Exchange Rate Directional Forecasting", Algorithmic Finance, vol. 4, no. 1-2, DOI: 10.3233/AF-150044, 2015
  8. T. Vafeiadis, K. I. Diamantaras, G. Sarigiannidis, K. Ch. Chatzisavvas, "A Comparison of Machine Learning Techniques for Customer Churn Prediction", Simulation Modelling Practice and Theory, vol. 55, pp. 1-9, doi:10.1016/j.simpat.2015.03.003, Elsevier, 2015
  9. K. Goulianas, A. Margaris, I. Refanidis, K. I. Diamantaras, "An Adaptive Learning Rate Backpropagation-type Neural Network for Solving n×n Systems of Non Linear Algebraic Equations", Mathematical Methods in the Applied Sciences, doi: 10.1002/mma.3715, Wiley, 2015
  10. P. Stalidis, M. Giatsoglou, K. I. Diamantaras, G. Sarigiannidis, K. Ch. Chatzisavvas, "Machine Learning Sentiment Prediction based on Hybrid Document Representation", arXiv:1511.09107 [cs.CL]
  11. M. Kotti, K. I. Diamantaras, "Efficient Binary Classification Through Energy Minimisation of Slack Variables", Neurocomputing, Elsevier, DOI: 10.1016/j.neucom.2014.07.013, 2014
  12. K. I. Diamantaras, G. Vranou, Th. Papadimitriou, "Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources", IEEE Trans. Signal Processing, vol. 61, no. 11, pp. 2866-2873, June 2013
  13. A. Margaris, K. Goulianas, K. I. Diamantaras, Th. Papadimitriou, "Estimating 2-cycle Fixed Points of Henon Map Using Backpropagation Neural Networks", Mathematical Methods in the Applied Sciences, vol. 38, no. 2, pp. 263-273, John Wiley, 2015, Article first published online: 27 Dec. 2013, doi: 10.1002/mma.3064
  14. T. Adali, D. J. Miller, K. I. Diamantaras, J. Larsen, "Trends in Machine Learning for Signal Processing", T. Adali, D.J. Miller, K.I. Diamantaras, and J. Larsen, IEEE Signal Processing Magazine, pp. 193-196, Nov. 2011
  15. K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances", Journal Signal Processing Systems, Springer, Volume 65, Number 3, Pages 525-534, Oct. 2011, DOI 10.1007/s11265-010-0555-9, published online Nov. 2010.
  16. M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing", M. Zampoglou, Th. Papadimitriou and K. Diamantaras, Journal of Signal Processing Systems, Vol. 61, no 1, pp. 75-83, Springer, 2009.
  17. K. I. Diamantaras, Th. Papadimitriou, "Applying PCA Neural Models for the Blind Separation of Signals", Neurocomputing, vol. 73, no. 1-3, pp. 3-9, Elsevier, 2009
  18. K. I. Diamantaras, Th. Papadimitriou, "An Efficient Subspace Method for the Blind Identification of Multi-Channel FIR Systems", IEEE Transactions on Signal Processing, vol. 56, no. 12, pp. 5833-5839, December 2008
  19. N. Kofidis, A. Margaris, K. I. Diamantaras, M. Roumeliotis, "Blind System Identification: Instantaneous Mixtures of Binary Sources", International Journal of Computer Mathematics, Volume 85, Issue 9, pages 1333 - 1340, September 2008
  20. K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources", IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3720-3731, October 2006
  21. K. I. Diamantaras, Th. Papadimitriou, "Subspace-based Channel Shortening for the Blind Separation of Convolutive Mixtures", IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3669-3677, October 2006
  22. K. I. Diamantaras, "A Clustering Approach for the Blind Separation of Multiple Finite Alphabet Sequences from a Single Linear Mixture", Signal Processing, Vol. 86, Issue 4, pp. 877-891, Elsevier, April 2006
  23. Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Video Scene Segmentation using Spatial Contours and 3-D Robust Motion Estimation", IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 4, April 2004
  24. I. Bradaric, A. Petropulu, K. I. Diamantaras, "Blind MIMO FIR Channel Identification Based on Second-Order Spectra Correlations", IEEE Transactions on Signal Processing, vol. 51, no. 6, pp. 1668-1674, June 2003.
  25. I. Bradaric, A. Petropulu, K. I. Diamantaras, "On Blind Identifiability of FIR-MIMO Systems with Cyclostationary Inputs Using Second Order Statistics", IEEE Transactions on Signal Processing, vol. 51, no. 2, pp. 434-441, Feb. 2003.
  26. K. I. Diamantaras, "Blind channel identification based on the geometry of the received signal constellation", IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1133-1143, May 2002.
  27. M. Salampasis, K. I. Diamantaras, "Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments", Journal of Digital Information, vol. 2, issue 4, article no. 105, 31-May, 2002
  28. I. Bradaric, A. Petropulu, K. I. Diamantaras, "Subspace design of low-rank estimators for higher-order statistics", Journal of the Franklin Institute, vol. 339, pp. 161-187, Elsevier, 2002.
  29. K. I. Diamantaras, "Blind Source Separation using Principal Component Neural Networks", in ICANN 2001, Lecture Notes in Computer Science vol. 2130, G. Dorffner, H. Bischof and K. Hornik (Eds.), pp. 515-520, Springer Verlag, 2001.
  30. K. I. Diamantaras, M. G. Strintzis, "Optimal Reconstruction from Quantized Data", Signal Processing-Image Communication, vol. 15, no. 9, pp. 811-815, Elsevier, July 2000.
  31. Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Robust Estimation of Rigid Body 3-D Motion Parameters based on Point Correspondences", IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 4, pp. 541-549, June 2000.
  32. K. I. Diamantaras, A. Petropulu, B. Chen, "Blind Two-Input-Two-Output FIR Channel Identification Based on Second-Order Statistics", IEEE Transactions on Signal Processing, vol. 48, no. 2, pp.534-542, Feb. 2000.
  33. K. I. Diamantaras, M. G. Strintzis, "Optimal Transform Coding in the Presence of Quantization Noise", IEEE Transactions on Image Processing, vol. 8, no. 11, pp. 1508-1515, Nov. 1999.
  34. K. I. Diamantaras, K. Hornik, M. G. Strintzis, "Optimal Linear Compression Under Unreliable Representation and Robust PCA Neural Models", IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 1186-1195, Sept. 1999.
  35. N. Maglaveras, T. Stamkopoulos, K. I. Diamantaras, C. Pappas, M. G. Strintzis, "ECG Pattern Recognition and Classification Using Non-linear Transformations and Neural Networks: A Review", International Journal of Medical Informatics, vol. 52, pp. 191-208, 1998.
  36. T. Stamkopoulos, K. I. Diamantaras, N. Maglaveras, M. G. Strintzis, "ECG Analysis Using Non-linear PCA Neural Networks for Ischemia Detection", IEEE Transactions on Signal Processing, vol. 46, no 11, pp. 3058-3067, Nov. 1998.
  37. K. I. Diamantaras, M. G. Strintzis, "Neural Classifiers Using One-Time Updating", IEEE Trans. Neural Networks, vol. 9, no 3, pp. 436-447, May 1998.
  38. K. I. Diamantaras, "Robust Hebbian Learning and Noisy Principal Component Analysis", International Journal of Computer Mathematics, Gordon & Breach Science Publishers, vol. 68, no. 1-2, pp. 5-24, 1997.
  39. K. I. Diamantaras, S. Y. Kung, "A Linear Systolic Array for Real-Time Morphological Image Processing", Journal of VLSI Signal Processing, Kluwer, vol. 17, no.1, pp. 43-55, Kluwer, September 1997.
  40. K. I. Diamantaras, W. H. Chou, S. Y. Kung, "Dynamic Programming Implementation on Array Processor Architectures", Journal of VLSI Signal Processing, vol. 13, no. 1, pp. 27-36, Kluwer, August 1996.
  41. K. I. Diamantaras, S. Y. Kung, "Cross-correlation Neural Network Models", IEEE Transactions on Signal Processing, pp. 3218-3223, vol. 42, no. 11, November 1994.
  42. K. I. Diamantaras, S. Y. Kung, "Multi-layer Neural Networks for Reduced-Rank Approximation", IEEE Transactions on Neural Networks, pp. 684-697, vol. 5, no. 5, September 1994.
  43. S. Y. Kung, K. I. Diamantaras, J. S. Taur, "Adaptive Principal Component Extraction (APEX) and Applications", IEEE Transactions on Signal Processing, pp. 1202-1217, vol. 42, no. 5, May 1994.
  44. K. I. Diamantaras, N. K. Jha, "A New Transition Count for Testing of Logic Circuits", IEEE Transactions on CAD of ICAS, pp. 407-410, vol. 10, no. 3, March 1991.
  45. P. N. Paraskevopoulos, K. I. Diamantaras, "Algorithms for Characteristic Polynomial Assignment of 2-D Discrete Systems", Proceedings IEE, Part D, vol. 137, no. 2, pp. 94-97, March 1990.
  46. P. N. Paraskevopoulos, K. I. Diamantaras, "A New Orthogonal Series Approach to State-Space Analysis of 1-D and 2-D Discrete Systems", Proceedings IEE, Part G, vol. 137, no. 3, pp. 205-209, June 1990.

Conference papers

  1. P. Kaplanoglou, K. I. Diamantaras, "Margin-based Sample Filtering for Image Classification using Convolutional Neural Networks", Proc. Int. Conf. Image Processing (ICIP 2018), pp. 1-5, Athens, Greece, Oct. 2018
  2. D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Comparison of Stochastic and Machine Learning Models in Streamflow Forecasting", in Proc. Int. Conf. Protection and Restoration of the Environment XIV (PRE XIV), Thessaloniki, Greece, July 2018
  3. K. Tziridis, Th. Kalampokas, G. A. Papakostas, K. I. Diamantaras, "Airfare Prices Prediction Using Machine Learning Techniques", in Proc. 25th European Signal Processing Conf. (EUSIPCO 2017), Kos, Greece, pp. 1036-1039, 28 Aug-2 Sept. 2017
  4. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Adaptive Margin Slack Minimization in RKHS for Classification", in Proceedings, 41st IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP2016), pp. 2319-2323, Shanghai, China, March 2016
  5. S. Ougiaroglou, K. I. Diamantaras, G. Evangelidis, "Efficient Support Vector Machine Classification using Prototype Selection and Generation", in Proc. Artificial Intelligence Applications and Innovations (AIAI 2016), pp. 328-340, Thessaloniki, 16-18 Sept. 2016
  6. K. I. Diamantaras, S. Y. Kung, "Data Privacy Protection By Kernel Subspace Projection And Generalized Eigenvalue Decomposition", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing, (MLSP2016) , Vietri Sul Mare, Italy, Sept. 13-16, 2016
  7. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Enhanced Distance Subset Approximation Using Class-Specific Subspace Kernel Rerpesentation for Kernel Approximation", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing, (MLSP2016) , Vietri Sul Mare, Italy, Sept. 13-16, 2016
  8. P. Sarigiannidis, M. Louta, G. Papadimitriou, P. Nicopolitidis, K. I. Diamantaras, I. Tinnirello, C. Verikoukis, "A Metaheuristic Bandwidth Allocation Scheme for FiWi Networks Using Ant Colony Optimization", 22nd IEEE Symposium on Communications and Vehicular Technology (SCVT 2015), Luxembourg, November 24, 2015
  9. K. I. Diamantaras, Th. Papadimitriou, K. Goulianas, "Analyzing Data into Quantized Components", in Proc. IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP-2014), pp. 6252-6256, Florence, Italy, May 2014
  10. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Multiclass Ridge-adjusted Slack Variable Optimization Using Selected Basis for Fast Classification", in proceedings 22nd European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, Sept. 2014
  11. G. A. Papakostas, K. I. Diamantaras, "Efficient Data Classification By Gpu-Accelerated Linear Mean Squared Slack Minimization", in Proc. IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP2014), Reims France, Sept. 2014
  12. K. I. Diamantaras, Th. Papadimitriou, "Blind Identification of PAM-MIMO Systems Based on the Distribution of Output Differences", in Proc. 21st European Signal Processing Conference, EUSIPCO Marrakech, Morocco, 9-13 Sept., 2013
  13. Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Ridge-adjusted Slack Variable Optimization for Supervised Classification", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP-2013), Southampton, Sept. 2013.
  14. K. I. Diamantaras, M. Kotti, "Binary Classification by Minimizing the Mean Squared Slack", in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP-2012), pp. 2057-2060, Kyoto, Japan, March, 2012
  15. D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Investigation of the Effect of Interception and Evapotranspiration on the Rainfall-runoff Relationship Using Bayesian Networks", in Proc. Protection and Restoration of the Environment XI, Thessaloniki, Greece, July 2012
  16. M. Kotti, K. I. Diamantaras, "Towards Minimizing the Energy of Slack Variables for Binary Classification", in Proc. EUSIPCO 2012 (20th European Signal Processing Conference), pp. 644-648, Bucharest, Romania, August 27-31, 2012
  17. K. I. Diamantaras, Th. Papadimitriou, G. Vranou, "Blind separation of multiple binary sources from one nonlinear mixture", in Proc. Int. Conf. Acoustics, Speech, Signal Processing (ICASSP-2011), pp. 2108-2111, Prague, Czechia, May 2011.
  18. D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Rainfall-runoff modeling using support vector regression and artificial neural networks", in Proc. 12th International Conference on Environmental Science and Technology (CEST2011), Rhodes, Greece, 8 - 10 September 2011.
  19. Δ. Μπότσης, Π. Λατινόπουλος, Κ. Διαμαντάρας, "Προσομοίωση βροχόπτωσης – απορροής με τη χρήση της παλινδρόμησης των μηχανών διανυσμάτων υποστήριξης", Πρακτικά 15ου Πανελλήνιου Δασολογικού συνεδρίου, Καρδίτσα, 16-19 Οκτωβρίου 2011
  20. K. I. Diamantaras, Th. Papadimitriou, "Blind Separation of Three Binary Sources From One Nonlinear Mixture", in Proc. 2010 Int. Workshop on Machine Learning for Signal Processing, MLSP-2010, Kittila, Finland, August 29-Sept. 1. 2010
  21. K. I. Diamantaras, Th. Papadimitriou, "Separating two Binary Sources from a Single Nonlinear Mixture", in Proc. Int. Conf. Acoustics Speech Signal Processing (ICASSP 2010), Dallas, TX, March 14-19, 2010
  22. M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Motion descriptors for semantic video indexing", in Proc. 2010 International Conference on Signal Processing and Multimedia Applications (SIGMAP), pp. 178-184, Athens, Greece, 26-28 July 2010
  23. K. I. Diamantaras, Th. Papadimitriou, "Blind MISO Deconvolution Using the Distribution of Output Differences", in Proc. 2009 Int. Workshop on Machine Learning for Signal Processing, MLSP-2009, Grenoble, France, Sept. 2009.
  24. K. I. Diamantaras, Th. Papadimitriou, "Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures", Lecture Notes on Computer Sience (LNCS) vol. 5441, Proc. 8th Int. Conference on Independent Component Analysis and Blind Signal Separation (ICA2009), Paraty, Brazil, March 15-18, pp. 227-234, Springer, 2009.
  25. K. I. Diamantaras, "Blind Separation of two multi-level sources from a single linear mixture", in Proc. 18th IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2008), Cancun, Mexico, October, 2008
  26. M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Integrating Motion and Color for Content Based Video Classification", in Proc. 2008 IAPR Workshop on Cognitive Information Processing, Santorini, Greece, June, 2008
  27. M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Support Vector Machines Content-Based Video Retrieval based solely on Motion Information", in Proc. 17th IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2007), Thessaloniki, Greece, August, 2007
  28. A. Margaris, K. I. Diamantaras, "A parallel implementation of the Natural Gradient BSS method using MPI", 2nd International Conference on Experiments/Process/System Modeling/Simulation & Optimization (2nd IC-EpsMsO), Athens, 4-7 July, 2007
  29. K. I. Diamantaras, Th. Papadimitriou, "Analytical Solution of the Blind identification Problem for Multichannel FIR Systems Based on Second Order Statistics", in Proc. 2007 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2007), vol. III, pp. 749-752, Honolulu, Hawaii, USA, April 2007
  30. K. I. Diamantaras, Th. Papadimitriou, "Blind Multichannel Deconvolution Using Subspace-Based Single Delay Channel Deflation", 12th IEEE Digital Signal Processing Workshop (DSP'2006), Wyoming, USA, Sept. 2006.
  31. Th. Papadimitriou, K. I. Diamantaras, "Channel Shortening Of Multi-Input Multi-Output Convolutive Systems With Binary Sources", in Proc. 2006 IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2006), pp. 271-276, Maynooth, Ireland, Sept. 2006.
  32. K. I. Diamantaras, Th. Papadimitriou, E. Kotsialos, "A Channel Deflation Approach for the Blind Deconvolution of a Complex FIR Channel With Real Input", in Proc. 14 th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, Sept., 2006.
  33. I. Michailidis, K. I. Diamantaras, S. Vasileiadis, Y. Frere, "Greek Named Entities Recognition using Support Vector Machines, Maximum Entropy Models and Onetime", in Proceesings 5th International Conference on Language Resources and Evaluation (LREC), pp. 47-52, Genova, Italy, 24-26 May, 2006
  34. I. Michailidis, K. I. Diamantaras, S. Vasileiadis, "Greek Named Entity Recognition using Support Vector Machines", in Proceedings 7th International Conference in Greek Linguistics (ICGL), York, UK, 8-10 Sept, 2005
  35. K. I. Diamantaras, Th. Papadimitriou, "Blind Separation of Reflections Using the Image Mixtures Ratio", in Proc. IEEE Int. Conf. Image Processing (ICIP-2005), vol. II, pp. 1034-1037, Genova, Italy, Sept. 2005
  36. K. I. Diamantaras, I. Michailidis, S. Vasileiadis, "A Very Fast and Efficient Linear Classification Algorithm", in Proc. 2005 IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2005), Mystic, CT, USA, Sept. 2005
  37. K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources", in Proc. 2005 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2005), vol. III, pp. 549-552, Philadelphia, PA, USA, March 2005
  38. K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of SISO Systems with Binary Source based on Recursive Channel Shortening", in Fifth Int. Conference on Independent Component Analysis and Blind Signal Separation (ICA2004), Lecture Notes in Computer Science, Vol. 3195, C.G. Puntonet and A. Prieto, Eds., Granada, Spain, pp. 548-553, Springer, September 2004
  39. K. I. Diamantaras, Th. Papadimitriou, "MIMO Blind Deconvolution Using Subspace-based Filter Deflation", in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2004), Montreal, May 2004.
  40. K. I. Diamantaras, Th. Papadimitriou, "Temporal Filtering and Oriented PCA Neural Networks for Blind Source Separation", in Proc. 13th IEEE International Workshop on Neural Networks for Signal Processing, pp. 369-378, Toulouse France, Sept. 2003
  41. K. I. Diamantaras, Th. Papadimitriou, "Blind Signal Separation Using Oriented PCA Neural Models", in Proc. 2003 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2003), vol. II, pp. 733-736, Hong-Kong, April 2003
  42. K. I. Diamantaras, Th. Papadimitriou, "Oriented PCA and Blind Signal Separation", in Proc. Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA-2003), pp. 609-614, Nara, Japan, April 2003
  43. I. Bradaric, A. Petropulu, K. I. Diamantaras, "On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics", in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2002), pp. 2889-2892, Orlando, FL, May 2002.
  44. E. Loutas, C. Nikou, K. I. Diamantaras, I. Pitas, "Efficient Occlusion Handling Region Tracking", 1st IEEE International Symposium on Signal Processing and Information Technology (ISSPIT-2001), Cairo, Egypt, Dec. 28-30, 2001.
  45. E. Loutas, K. I. Diamantaras, I. Pitas, "Occlusion resistant object tracking", 8th IEEE International Conference on Image Processing (ICIP-2001), Thessaloniki, Greece, Oct. 7-10, 2001.
  46. K. I. Diamantaras, "Blind source separation using Principal Component Neural Networks", International Conference on Artificial Neural Networks (ICANN-2001), Vienna, Austria, August 21-25, 2001.
  47. I. Bradaric, A. Petropulu, K. I. Diamantaras, "A second-order statistics-based optimization approach for blind MIMO system identification", 11th IEEE Workshop on Statistical Signal Processing (SSP-2001), Singapore, Aug. 6-10, 2001.
  48. K. I. Diamantaras, "PCA Neural Models and Blind Signal Separation", International Joint Conference on Neural Networks (IJCNN-2001), Washington DC, July 15-19, 2001.
  49. Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, "A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis", in Proc. Int. Conf. Image Processing (ICIP-2000), Vancouver, Canada, Sept. 10-13, 2000.
  50. K. I. Diamantaras, E. Chassioti, "Blind Separation of n Binary Sources from one Observation: A Deterministic Approach", in Proc. 2nd Int. Workshop on Independent Component Analysis and Blind Source Separation (ICA-2000), pp. 93-98, Helsinki, June 19-22, 2000.
  51. K. I. Diamantaras, "Blind Separation of Multiple Binary Sources using a Single Linear Mixture", in Proc. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2000), vol. V, pp. 2889-2892, Istanbul, Turkey, June 2000.
  52. I. Bradaric, A. Petropulu, K. I. Diamantaras, "Blind nxn MIMO System Estimation using Second Order Statistics", 34th Annual Conference on Information Sciences and Systems (CISS-2000), Princeton University, March 2000.
  53. Κ. Διαμαντάρας, Ι. Κομπατσιάρης, Μ. Γ. Στρίντζης, "Προσομοίωση στην εκπαίδευση προσωπικού με χρήση εικονικής πραγματικότητας", πρακτικά Διημερίδας Πληροφορικής & Επιχειρησιακής Έρευνας στις Ένοπλες Δυνάμεις, Πολεμικό Μουσείο, Αθήνα, 2-3 Νοεμβρίου, 1999.
  54. B. Chen, A. Petropulu, K. I. Diamantaras, "Error Analysis of a SOS-Based MIMO System Identification Algorithm", in Proc. 33rd Asilomar Conf. on Signals Systems and Computers, Pacific Grove, CA, Oct. 24-27, 1999.
  55. Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "A New Image Sequence Segmentation Method based on Luminance and 3-D Motion Information", in Proc. Int. Workshop on Synthetic - Natural Hybrid Coding and Three Dimensional Imaging (IWSNHC3DI-99), pp. 53-57, Santorini, Greece, Sept. 15-17, 1999.
  56. K. I. Diamantaras, A. Petropulu, "Adaptive blind MIMO system identification using Principal Component neural models", in Proc. Int. Joint Conf. Neural Networks (IJCNN-99), Washington-DC, July 1999.
  57. K. I. Diamantaras, A. Petropulu, "Blind Equalization of Multiuser CDMA Channels", in Proc. 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications, (SPAWC-99), Annapolis, MD, 1999.
  58. Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Robust Estimation of Rigid Body 3-D Motion Parameters From Point Correspondences", in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, AZ, 1999.
  59. K. I. Diamantaras, A. Petropulu, "Blind Equalization of Multiuser CDMA Channels: A Frequency-Domain Approach", in the IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, AZ, 1999.
  60. K. I. Diamantaras, A. Petropulu, "Blind Two-Input-Two-Output FIR Channel Estimation and Source Separation", in Proc. IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging (DECI-99), Santa Fe, New Mexico (USA), February 24-26, 1999.
  61. K. I. Diamantaras, Th. Papadimitriou, M. G. Strintzis, M. Roumeliotis, "Total Least Squares 3-D Motion Estimation", in Proceedings IEEE International Conf. Image Processing (ICIP-98), Chicago, Oct. 1998.
  62. K. I. Diamantaras, M. G. Strintzis, "Optimal Reconstruction from Quantized Data", Proceedings HERCMA-98.
  63. K. I. Diamantaras, "Asymmetric PCA Neural Networks for Adaptive Blind Source Separation", in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP-98), pp. 103-112, Cambridge, UK, August 1998.
  64. K. I. Diamantaras, "Second Order Hebbian Neural Networks and Blind Source Separation", in Proc. EUSIPCO-98 (European Signal Processing Conference), vol. III, pp.1317-1320, Rhodes, Greece, Sept. 1998.
  65. K. I. Diamantaras, M. G. Strintzis, "Blind Source Separation in the Presence of Measurement Noise", in Proc. CISS'98 (Conference on Information Sciences and Systems), pp. 1001-1006, Princeton, NJ, March 1998.
  66. K. I. Diamantaras, E. Bacharakis, I. Kamilatos, M. G. Strintzis, N. Maglaveras, A. Armaganidis, "Signal Integration and Tele-cooperation in a Critical Care Unit", in Proceedings IEEE EMBS-97 (Conference of the IEEE-Engineering in Medicine and Biology Society), Chicago, IL, Oct 30-Nov 2, 1997. (ppt presentation)
  67. T. Stamkopoulos, N. Maglaveras, K. I. Diamantaras, M. G. Strintzis, "Ischemia Classification Techniques Using An Advanced Neural Network Algorithm", in Proc. IEEE Computers in Cardiology, Lund, Sweden, Sept. 7-10, 1997.
  68. K. I. Diamantaras, M. G. Strintzis, "Nonlinear Neural Classifiers with Synaptic Weight Commitment", in Proceedings IEEE International Symposium on Circuits and Systems (ISCAS-97), pp. 653-656, Hong-Kong, June 9-12, 1997.
  69. K. I. Diamantaras, M. G. Strintzis, "Optimal Subband Coder Design Using Noisy PCA", in Proc. First European Conference on Signal Analysis and Prediction (ECSAP-97), pp. 315-318, Prague, June 24-27, 1997.
  70. K. I. Diamantaras, M. G. Strintzis, "Noisy PCA Theory and Application in Filter Bank Codec Design", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-97), pp. 3857-3860, Munich, May 21-24, 1997.
  71. N. Maglaveras, M. G. Strintzis, K. I. Diamantaras, T. D. Doukoglou, A. Armaganidis, I. Chouvarda, "IHIS : An integrated hospital environment linking via LAN ICU with PACS and Biochemical Laboratories", in Proceedings IEEE Computers in Cardiology 1996, pp. 589-592, Indianapolis, IN, Sept. 8-11, 1996.
  72. K. I. Diamantaras, T. Stamkopoulos, N. Maglaveras, M. G. Strintzis, "ST Segment Nonlinear Principal Component Analysis for Ischemia Detection", in Proceedings IEEE Computers in Cardiology 1996, pp. 493-496, Indianapolis, IN, Sept. 8-11, 1996.
  73. K. I. Diamantaras, M. G. Strintzis, "Camera Motion Parameter Recovery under Perspective Projection", in Proc. IEEE Int. Conf. Image Processing (ICIP-96), vol. III, pp. 807-810, Lausanne, Switzerland, Sept. 16-19, 1996.
  74. K. I. Diamantaras, "Robust Principal Component Extracting Neural Networks", in Proc. Int. Conf. Neural Networks (ICNN-96), pp.74-77, Washington DC, June 3-6, 1996.
  75. K. I. Diamantaras, T. D. Doukoglou, I. Kamilatos, N. Maglaveras, M. G. Strintzis, A. Armaganidis, "Critical Care Unit Information Integration System", in Proc. 10th Int. Symp. Computer Assisted Radiology (CAR-96), pp. 480-483, Paris, June 26-29, Elsevier, 1996.
  76. K. I. Diamantaras, N. Grammalidis, M. G. Strintzis, "KLT-based coding of Stereo Image Sequences", presented in the International Workshop on Image Processing, Budapest, 1994, and published in the Journal of Communications, no. 45, pp. 20-23, May-June 1994.
  77. D. Geiger, K. I. Diamantaras, "Occlusion ambiguities in motion", in Computer Vision - ECCV '94, Proc. 3rd European Conf. in Computer Vision, Sweden, J.-O. Eklundh (ed.), vol. I, pp. 175-180, published by Springer-Verlag, Lecture Notes in Computer Science Series, vol. 800, 1994.
  78. K. I. Diamantaras, D. Geiger, "Resolving Motion Ambiguities", in Advances in Neural Information Processing Systems 6 (NIPS-93), Denver, Colorado, J. Cowan, G. Tesauro, and J. Alspector (eds.), pp. 977-984, Morgan Kaufmann, 1994.
  79. K. I. Diamantaras, S. Y. Kung, "Compressing Moving Pictures Using the APEX Neural Principal Component Extractor", in Proc. 3rd IEEE Workshop Neural Networks for Signal Processing, IEEE, Baltimore, September 1993.
  80. K. I. Diamantaras, K. Hornik, "Noisy Principal Component Analysis", in Measurement '93, pp. 25-33, J. Volaufova and V. Witkowsky eds., Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, May 1993.
  81. K. I. Diamantaras, A. Chihoub, A. Zawadzki, "Scalable Architectures for Image Processing", in Proc. SPIE Conf. Machine Vision Applications, Architectures, and System Integration II, pp. 2-13, Boston 1993.
  82. W. H. Chou, K. I. Diamantaras, S. Y. Kung, "Implementing Dynamic Programming Algorithms for Signal and Image Processing on Array Processors", in VLSI Signal Processing VI, L. D. J. Eggermont et. al. (eds), pp. 289-297, Proceedings IEEE Workshop, Koningshof, Veldhoven, Netherlands, IEEE, NY, October 1993.
  83. S. Y. Kung, K. I. Diamantaras, "Neural Networks for Extracting Unsymmetric Principal Components", in Proc. 1st IEEE Workshop on Neural Networks for Signal Processing, pp. 50-59, Princeton, NJ, September 1991.
  84. K. I. Diamantaras, S. Y. Kung, "An Unsupervised Neural Model for Oriented Principal Component Extraction", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-91), pp. 1049-1052, Toronto, Canada, May 14-17, 1991.
  85. K. I. Diamantaras, D. L. Heine, I. D. Scherson, "Implementation of Neural Network Algorithms on the P3 Parallel Associative Processor", in Proc. Int. Conf. Parallel Processing (ICPP-90), pp. 247-250, St. Charles IL, August 13-17, 1990.
  86. K. I. Diamantaras, N. K. Jha, "A New Transition Count Method for Testing of Combinational Circuits", in Proceedings 13-th Int. Conf. Fault-Tolerant Systems and Diagnostics, pp. 218-224, Varna, Bulgaria, June 20-22, 1990.
  87. K. I. Diamantaras, K. H. Zimmermann, S. Y. Kung, "Integrated Fast Implementation of Mathematical Morphology Operations in Image Processing", in Proc. IEEE Int. Symp. Circuits and Systems, pp. 1442-1445, New Orleans, May 1990.
  88. S. Y. Kung, K. I. Diamantaras, "A Neural Network Learning Algorithm for Adaptive Principal Component Extraction (APEX)", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-90), pp. 861-864, Albuquerque, NM., April 1990.

Ph.D. Thesis

  1. K. I. Diamantaras, Principal Component Learning Networks and Applications, Princeton University, NJ, 1992.

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