Publications

The articles are presented in reverse chronological order. The last names of Dr. Markopoulos' student advisees are in bold font.

1. S. Singh, E. Saber, P. P. Markopoulos, and J. Heard, "Regulating Modality Utilization within Multimodal Fusion Networks," Sensors, vol. 24, no. 18, Special Issue "Deep Learning Methods for Aerial Imagery," A. Savakis, E. Blasch, and K. Palaniappan, Eds., Art. no. 6054, Sep. 2024. 

DOI: https://doi.org/10.3390/s24186054

2. M. Sharma, J. Heard, E. Saber, and P. P. Markopoulos, "Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning," arXiv:2401.08014, Jan. 2024. Submitted to IEEE Access, Aug. 2024. 

DOI: https://doi.org/10.48550/arXiv.2401.08014

3. S. Colonnese, G. Scarano, M. Marra, P. P. Markopoulos, and D. A. Pados, "Joint analysis and segmentation of time-varying data with outliers," Digital Signal Processing, vol. 145, no. 104338, Feb. 2024. 

DOI: https://doi.org/10.1016/j.dsp.2023.104338

4. M. Dhanaraj and P. P. Markopoulos, "On the Asymptotic L1-PC of Elliptical Distributions," IEEE Signal Processing Letters, vol. 29, pp. 2343-2347, Sep. 2022. 

DOI: https://doi.org/10.1109/LSP.2022.3205274

5. S. Colonnese, P. P. Markopoulos, G. Scarano, and D. A. Pados, "FFT Calculation of the L1-norm Principal Component of a Data Matrix," Signal Processing, vol. 189, no. 108286, Aug. 2021.

DOI: https://doi.org/10.1016/j.sigpro.2021.108286

6. D. G. Chachlakis, T. Zhou, F. Ahmad, and P. P. Markopoulos, "Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays," Digital Signal Processing, vol. 114, no. 103034, Jul. 2021. 

DOI: https://doi.org/10.1016/j.dsp.2021.103034

7. D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos, "Dynamic L1-norm Tucker Tensor Decomposition," IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, pp. 587-602, Apr. 2021. 

DOI: https://doi.org/10.1109/JSTSP.2021.3058846

8. D. G. Chachlakis and P. P. Markopoulos, "Structured Autocorrelation Matrix Estimation for Coprime Arrays," Signal Processing, vol. 183, no. 107987, Jun. 2021. DOI: https://doi.org/10.1016/j.sigpro.2021.107987

9. M. Sharma, M. Dhanaraj, D. G. Chachlakis, S. Karam, R. Ptucha, P. P. Markopoulos, and E. Saber, "YOLOrs: Object Detection in Multimodal Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1497-1508, Nov. 2021. 

DOI: https://doi.org/10.1109/JSTARS.2020.3041316

10. H. Kamrani, A. Zoghadr Asli, P. P. Markopoulos, M. Langberg, D. A. Pados, and G. N. Karystinos, "Reduced-Rank L1-Norm Principal-Component Analysis with Performance Guarantees," IEEE Transactions on Signal Processing, vol. 69, pp. 240-255, Nov. 2020. 

DOI: https://doi.org/10.1109/TSP.2020.3039599

11. S. A. Mamun, A. Ganguly, P. P. Markopoulos, M. Kwon, and A. Kwasinski, "NASCon: Network-Aware Server Consolidation for Server-Centric Wireless Datacenters," Sustainable Computing: Informatics and Systems, vol. 29, part A, no. 100452, Mar. 2021. 

DOI: https://doi.org/10.1016/j.suscom.2020.100452

12. D. G. Chachlakis, P. P. Markopoulos, and A. Prater-Bennette, "L1-Norm Tucker Tensor Decomposition," IEEE Access, vol. 7, pp. 178454-178465, Nov. 2019. 

DOI: https://doi.org/10.1109/ACCESS.2019.2955134

13. Y. Liang, P. P. Markopoulos, and E. Saber, "Spatial-Spectral Segmentation of Hyperspectral Images for Subpixel Target Detection," SPIE Journal of Applied Remote Sensing, vol. 13, no. 3, pp. 036502:1-036502:16, Jul. 2019. 

DOI: https://doi.org/10.1117/1.JRS.13.036502

14. P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos, "Realified L1-PCA for Direction-of-Arrival Estimation: Theory and Algorithms," EURASIP Journal on Advances in Signal Processing, no. 30, Jun. 2019. 

DOI: https://doi.org/10.1186/s13634-019-0625-5

15. P. P. Markopoulos, S. Zlotnikov, and F. Ahmad, "Adaptive Radar-Based Human Activity Recognition with L1-norm Linear Discriminant Analysis," IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, vol. 3, no. 2, pp. 120-126, Jun. 2019. DOI: https://doi.org/10.1109/JERM.2019.2893587

16. P. P. Markopoulos, M. Dhanaraj, and A. Savakis, "Adaptive L1-Norm Principal-Component Analysis with Online Outlier Rejection," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1131-1143, Dec. 2018. 

DOI: https://doi.org/10.1109/JSTSP.2018.2874165

17. N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados, "L1-Norm Principal-Component Analysis of Complex Data," IEEE Transactions on Signal Processing, vol. 66, no. 12, pp. 3256-3267, Jun. 2018. 

DOI: https://doi.org/10.1109/TSP.2018.2821641

18. P. P. Markopoulos, D. G. Chachlakis, and E. E. Papalexakis, "The Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition," IEEE Signal Processing Letters, vol. 25, no. 4, pp. 511-515, Apr. 2018. 

DOI: https://doi.org/10.1109/LSP.2018.2790901

19. P. P. Markopoulos and G. N. Karystinos, "Noncoherent Alamouti Phase-Shift Keying with Full-Rate Encoding and Polynomial-Complexity Maximum-Likelihood Decoding," IEEE Transactions on Wireless Communications, vol. 16, no. 10, pp. 6688-6697, Jul. 2017. 

DOI: https://doi.org/10.1109/TWC.2017.2728524

20. P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados, "Efficient L1-Norm Principal-Component Analysis via Bit Flipping," IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4252-4264, Aug. 2017. 

DOI: https://doi.org/10.1109/TSP.2017.2708023

21. P. P. Markopoulos, G. N. Karystinos, and D. A. Pados, "Optimal Algorithms for L1-Subspace Signal Processing," IEEE Transactions on Signal Processing, vol. 62, no. 19, pp. 5046-5058, Oct. 2014. 

DOI: https://doi.org/10.1109/TSP.2014.2338077

22. P. P. Markopoulos, S. Kundu, and D. A. Pados, "Small-Sample-Support Suppression of Interference to PN-Masked Data," IEEE Transactions on Communications, vol. 61, no. 7, pp. 2979-2987, Jul. 2013. 

DOI: https://doi.org/10.1109/TCOMM.2013.043013.120643

23. A. Bletsas, A. Vlachaki, E. Kampianakis, G. Sklivanitis, J. Kimionis, K. Tountas, M. Asteris, and P. P. Markopoulos, "Building a Low-Cost Digital Garden as a Telecom Lab Exercise," IEEE Pervasive Computing, vol. 12, no. 1, pp. 48-57, Jan. 2013. 

DOI: https://doi.org/10.1109/MPRV.2011.83

1. R. U. Haque and P. P. Markopoulos, work submitted to the 39th Annual AAAI Conference on Artificial Intelligence 2025 (under double-blind review).

2. M. Krol, R. Hyder, A. Prater-Bennette, S. Asif, and P. P. Markopoulos, "Continual Learning in Convolutional Neural Networks with Tensor Rank Updates," in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), Corvallis, OR, July 2024. 

DOI: https://doi.org/10.1109/SAM60225.2024.10636545 

3. I. Tomeo, P. P. Markopoulos, and A. Savakis, "L1-PCA with quantum annealing," in Proc. SPIE 13036, Big Data VI: Learning, Analytics, and Applications, National Hardbor, MD, April, 2024, p. 1303605.

DOI: https://doi.org/10.1117/12.3015944.

4. J. A. Sanchez Viloria, D. Stripelis, P. P. Markopoulos, G. Sklivanitis, and D. A. Pados, "Adaptive Federated Learning for Automatic Modulation Classification Under Class and Noise Imbalance," in Proc. AAAI 2024 Spring Symp. Series, Stanford University, Stanford, CA, March 2024, p. 309. 

DOI: https://doi.org/10.1609/aaaiss.v3i1.31223 

5. S. Singh, P. P. Markopoulos, E. Saber, J. D. Lew, and J. Heard, "Measuring modality utilization in multi-modal neural networks," in Proc. IEEE Conference on Artificial Intelligence (IEEE CAI), Santa Clara, CA, June 2023, pp. 11-14. 

DOI: https://doi.org/10.1109/CAI54212.2023.00014

6. S. Singh, M. Sharma, J. Heard, J. D. Lew, E. Saber, and P. P. Markopoulos, "Multimodal aerial view object classification with disjoint unimodal feature extraction and fully-connected-layer fusion," in Proc. SPIE 12522, Big Data V: Learning, Analytics, and Applications, Orlando, FL, April 2023, p. 1252206. 

DOI: https://doi.org/10.1117/12.2664041 

7. I. Tomeo and P. P. Markopoulos, "HDA: an iterative hyperplane-search method for discriminant analysis," in Proc. SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, Orlando, FL, April 2023, p. 125381U.

DOI: https://doi.org/10.1117/12.2664331 

8. D. H. Le and P. P. Markopoulos, "Robust singular values based on L1-norm PCA," in Proc. IEEE Workshop on Signal Processing Systems (IEEE SiPS), Rennes, France, November 2022, pp. 1-6.

DOI: https://doi.org/10.1109/SiPS55645.2022.9919215 

9. M. Dhanaraj and P. P. Markopoulos, "Robust stochastic principal component analysis via Barron loss," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC), Pacific Grove, CA, October 2022, pp. 1286-1290.

DOI: https://doi.org/10.1109/IEEECONF56349.2022.10051902 

10. R. Hyder, K. Shao, B. Hou, P. P. Markopoulos, A. Prater-Bennette, and M. S. Asif, "Incremental Task Learning with Incremental Rank Updates," in Proc. European Conference on Computer Vision (ECCV), Tel Aviv, Israel, October 2022, pp. 566-582.

DOI: https://doi.org/10.1007/978-3-031-20050-2_33  

11. M. Sharma, P. P. Markopoulos, E. Saber, M. S. Asif, and A. Prater-Bennette, "Convolutional Auto-Encoder with Tensor-Train Factorization," in Proc. International Conference on Computer Vision (ICCV), Montreal, QC, Canada, October 2021, pp. 198-206.

DOI: https://doi.org/10.1109/ICCVW54120.2021.00027 

12. M. Mozaffari, P. P. Markopoulos, and A. Prater-Bennette, "Improved L1-Tucker via L1-Fitting," in Proc. European Signal Processing Conference (EUSIPCO), Dublin, Ireland, August 2021, pp. 1075-1079.

DOI: https://doi.org/10.23919/EUSIPCO54536.2021.9616014 

13. M. Mozaffari and P. P. Markopoulos, "Robust Barron-Loss Tucker Tensor Decomposition," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2021, pp. 1651-1655. 

DOI: https://doi.org/10.1109/IEEECONF53345.2021.9723232 

14. M. Sharma, P. P. Markopoulos, and E. Saber, "YOLOrs-LITE: A Lightweight CNN for Real-time Object Detection in Remote Sensing," in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, July 2021, pp. 2604-2607. 

DOI: https://doi.org/10.1109/IGARSS47720.2021.9554418 

15. D. G. Chachlakis and P. P. Markopoulos, "Novel Algorithms for Lp-quasi-norm Principal-Component Analysis," in Proc. European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, January 2021, pp. 1045-1049. 

DOI: https://doi.org/10.23919/Eusipco47968.2020.9287335 

16. S. A. Mamun, A. Ganguly, P. P. Markopoulos, A. Kwasinski, and M. Kwon, "What Can Ail Thee: New and Old Security Vulnerabilities of Wireless Datacenters," in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2020, pp. 1-7. 

DOI: https://doi.org/10.1109/GLOBECOM42002.2020.9322619 

17. G. Sklivanitis, P. P. Markopoulos, D. A. Pados, and R. Diamant, "Robust Graph Localization for Underwater Acoustic Networks," in Proc. IEEE Underwater Communications and Networking Conference (UComms), Lerici, Italy, August 2021, pp. 1-5. 

DOI: https://doi.org/10.1109/UComms50339.2021.9598114 

18. Y. Tsitsikas, D. G. Chachlakis, E. Papalexakis, P. P. Markopoulos, "L1-Norm RESCAL Decomposition," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2020, pp. 940-944. 

DOI: https://doi.org/10.1109/IEEECONF51394.2020.9443401 

19. D. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos, "L1-Norm Higher-order Orthogonal Iterations for Robust Tensor Analysis," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020, pp. 4826-4830. 

DOI: https://doi.org/10.1109/ICASSP40776.2020.9053701 

20. M. Dhanaraj, M. Sharma, T. Sarkar, S. Karnam, D. G. Chachlakis, R. Ptucha, P. P. Markopoulos, and E. Saber, "Vehicle Detection from Multi-modal Aerial Imagery Using YOLOv3 with Mid-level Fusion," in Proc. Proc. SPIE 11395, Big Data II: Learning, Analytics, and Applications, Anaheim, CA, April 2020, p. 1139506.

DOI: https://doi.org/10.1117/12.2558115 

21. K. Tountas, D. G. Chachlakis, P. P. Markopoulos, and D. A. Pados, "Iteratively Re-weighted L1-norm PCA of Tensor Data," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2019, pp. 1658-1661. 

DOI: https://doi.org/10.1109/IEEECONF44664.2019.9048775 

22. D. G. Chachlakis and P. P. Markopoulos, "Combinatorial Search for the Lp-Norm Principal Component of a Matrix," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2019, pp. 1611-1615. 

DOI: https://doi.org/10.1109/IEEECONF44664.2019.9048980 

23. S. A. Mamun, A. Ganguly, M. Kwon, A. Kwasinski, and P. P. Markopoulos, "Network-Aware Server Consolidation for Wireless Data Centers," in Proc. International Conference on Networks of the Future (NoF), Rome, Italy, October 2019, pp. 58-65. 

DOI: https://doi.org/10.1109/NoF47743.2019.9014979 

24. D. Chachlakis, Y. Tsitsikas, E. Papalexakis, and P. P. Markopoulos, "Robust Multi-Relational Learning with Absolute Projection RESCAL," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada, November 2019, pp. 1-5. 

DOI: https://doi.org/10.1109/GlobalSIP45357.2019.8969097 

25. M. Dhanaraj and P. P. Markopoulos, "Stochastic Principal Component Analysis via Mean Absolute Projection Maximization," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada, November 2019, pp. 1-5. 

DOI: https://doi.org/10.1109/GlobalSIP45357.2019.8969411 

26. G. Orrù, T. Cattai, S. Colonnese, G. Scarano, F. De Vico Fallani, P. P. Markopoulos, and D. A. Pados, "Deep L1-PCA of Time-Variant Data with Application to Brain Connectivity Measurements," in Proc. European Signal Processing Conference (EUSIPCO), A Coruna, Spain, September 2019, pp. 1-5. 

DOI: https://doi.org/10.23919/EUSIPCO.2019.8903169 

27. D. G. Chachlakis, M. Dhanaraj, P. P. Markopoulos, and A. Prater-Bennette, "Options for Multimodal Classification Based on L1-Tucker Decomposition," in Proc. SPIE 10989, Big Data: Learning, Analytics, and Applications, Baltimore, MD, April 2019, 109890O.

DOI: https://doi.org/10.1117/12.2520140 

28. S. Zlotnikov, P. P. Markopoulos, and F. Ahmad, "Incremental L1-Norm Linear Discriminant Analysis for Indoor Human Activity Classification," in Proc. IEEE Radar Conference (RadarConf), Boston, MA, April 2019, pp. 1-4. 

DOI: https://doi.org/10.1109/RADAR.2019.8835593 

29. P. P. Markopoulos, D. G. Chachlakis, and A. Prater-Bennette, "L1-Norm Higher-Order Singular-Value Decomposition," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, November 2018, pp. 1353-1357. 

DOI: https://doi.org/10.1109/GlobalSIP.2018.8646385 

30. K. Bichave, O. Brewer, M. Gusinov, P. P. Markopoulos, and I. Puchades, "Gait Recognition Based on Tensor Analysis of Acceleration Data From Wearable Sensors," in Proc. IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Rochester, NY, USA, October 2018, pp. 1-5. 

DOI: https://doi.org/10.1109/WNYIPW.2018.8576383 

Runner-up for Best Poster Award at IEEE WNYISPW 2018

31. M. Dhanaraj, D. G. Chachlakis, and P. P. Markopoulos, "Incremental Complex L1-PCA for Direction-of-Arrival Estimation," in Proc. IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Rochester, NY, October 2018, pp. 1-5.

DOI: https://doi.org/10.1109/WNYIPW.2018.8576447 

32. A. Gannon, G. Sklivanitis, P. P. Markopoulos, D. A. Pados, and S. N. Batalama, "Semi-Blind Signal Recovery in Impulsive Noise with L1-Norm PCA," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2018, pp. 477-481.

DOI: https://doi.org/10.1109/ACSSC.2018.8645515 

33. M. Dhanaraj and P. P. Markopoulos, "Novel Algorithm for Incremental L1-Norm Principal-Component Analysis," in Proc. European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018, pp. 2020-2024.

DOI: https://doi.org/10.23919/EUSIPCO.2018.8553239 

34. P. P. Markopoulos and F. Ahmad, "Robust Radar-Based Human Motion Recognition with L1-Norm Linear Discriminant Analysis," in Proc. IEEE International Microwave Biomedical Conference (IMBioC), Philadelphia, PA, USA, June 2018, pp. 145-147.

DOI: https://doi.org/10.1109/IMBIOC.2018.8428927 

35. D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, "MMSE-Based Autocorrelation Sampling for Coprime Arrays," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, April 2018, pp. 3474-3478.

DOI: https://doi.org/10.1109/ICASSP.2018.8461676 

36. D. G. Chachlakis and P. P. Markopoulos, "Novel Algorithms for Exact and Efficient L1-Norm-Based TUCKER2 Decomposition," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, April 2018, pp. 6294-6298. 

DOI: https://doi.org/10.1109/ICASSP.2018.8461839 

37. D. G. Chachlakis and P. P. Markopoulos, "Robust Decomposition of 3-Way Tensors Based on L1-Norm," in Proc. SPIE 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, Orlando, FL, April 2018, p. 1065807.

DOI: https://doi.org/10.1117/12.2307843 

38. S. Zlotnikov, P. Somaru, P. P. Markopoulos, and F. Ahmad, "A Linear Discriminative Analysis Based Fall Motion Detector Using Radar," in Proc. SPIE 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, Orlando, FL, April 2018, p. 106580D.

DOI: https://doi.org/10.1117/12.2311574 

39. D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, "The Mean-Squared-Error of Autocorrelation Sampling in Coprime Arrays," in Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, December 2017, pp. 1-5.

DOI: https://doi.org/10.1109/CAMSAP.2017.8313121 

40. P. P. Markopoulos and F. Ahmad, "Indoor Human Motion Classification by L1-Norm Subspaces of Micro-Doppler Signatures," in Proc. IEEE Radar Conference (RadarConf), Seattle, WA, USA, May 2017, pp. 1807-1810.

DOI: https://doi.org/10.1109/RADAR.2017.7944501 

41. P. P. Markopoulos, D. A. Pados, G. N. Karystinos, and M. Langberg, "L1-Norm Principal-Component Analysis in L2-Norm-Reduced-Rank Data Subspaces," in Proc. SPIE 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics, Anaheim, CA, April 2017, p. 1021104.

DOI: https://doi.org/10.1117/12.2263733 

42. D. G. Chachlakis, P. P. Markopoulos, R. J. Muchhala, and A. Savakis, "Visual Tracking with L1-Grassmann Manifold Modeling," in Proc. SPIE 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics, Anaheim, CA, April 2017, p. 1021102.

DOI: https://doi.org/10.1117/12.2263691 

43. G. Sklivanitis, P. P. Markopoulos, S. Batalama, and D. A. Pados, "Adaptive Sparse-Binary Waveform Design for All-Spectrum Channelization," in SPIE 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics, Anaheim, CA, April 2017, p. 102110B.

DOI: https://doi.org/10.1117/12.2262311 

Student Travel Grant

44. P. P. Markopoulos, "Linear Discriminant Analysis with Few Training Data," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, USA, March 2017, pp. 4626-4630. 

DOI: https://doi.org/10.1109/ICASSP.2017.7953033 

45. G. Sklivanitis, P. P. Markopoulos, S. Batalama, and D. A. Pados, "Sparse Waveform Design for All-Spectrum Channelization," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, USA, March 2017, pp. 3764-3768.

DOI: https://doi.org/10.1109/ICASSP.2017.7952860 

46. N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados, "On the L1-norm Approximation of a Matrix by Another of Lower Rank," in Proc. IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, USA, December 2016, pp. 768-773.

DOI: https://doi.org/10.1109/ICMLA.2016.0137 

47. P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados, "L1-Norm Principal-Component Analysis via Bit Flipping," in Proc. IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, USA, December 2016, pp. 326-332.

DOI: https://doi.org/10.1109/ICMLA.2016.0060 

48. P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos, "Direction-of-Arrival Estimation from L1-Norm Principal Components," in Proc. IEEE International Symposium on Phased Array Systems and Technology (PAST), Waltham, MA, USA, October 2016, pp. 1-6.

DOI: https://doi.org/10.1109/ARRAY.2016.7832585 

49. Y. Liang, P. P. Markopoulos, and E. Saber, "Subpixel Target Detection in Hyperspectral Images with Local Matched Filtering in SLIC Superpixels," in Proc. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, USA, August 2016, pp. 1-5.

DOI: https://doi.org/10.1109/WHISPERS.2016.8071719  

50. P. P. Markopoulos, "Reduced-Rank Filtering on L1-Norm Subspaces," in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, July 2016, pp. 1-5. 

DOI: https://doi.org/10.1109/SAM.2016.7569743 

51. Y. Liang, P. P. Markopoulos, and E. Saber, "Subpixel Target Detection in Hyperspectral Images from Superpixel Background Statistics," in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016, pp. 7018-7021.

DOI: https://doi.org/10.1109/IGARSS.2016.7730830 

52. P. P. Markopoulos, S. Kundu, and D. A. Pados, "L1-Fusion: Robust Linear-Time Image Recovery from Few Severely Corrupted Copies," in Proc. IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, September 2015, pp. 1225-1229. 

DOI: https://doi.org/10.1109/ICIP.2015.7350995 

53. N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados, "Direction Finding by Complex L1-Principal Component Analysis," in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Stockholm, Sweden, June 2015, pp. 475-479. 

DOI: https://doi.org/10.1109/SPAWC.2015.7227083 

54. P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos, "Direction Finding with L1-Norm Subspaces," in Proc. SPIE 9109, Compressive Sensing III, Baltimore, MD, May 2014, p. 91090J. 

DOI: https://doi.org/10.1117/12.2053049 

Student Travel Grant

55. S. Kundu, P. P. Markopoulos, and D. A. Pados, "Fast Computation of the L1-Principal Component of Real-Valued Data," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 8028-8032. 

DOI: https://doi.org/10.1109/ICASSP.2014.6855164 

56. P. P. Markopoulos, G. N. Karystinos, and D. A. Pados, "Some Options for L1-Subspace Signal Processing," in Proc. IEEE International Symposium on Wireless Communication Systems (ISWCS), Ilmenau, Germany, August 2013, pp. 622-626. 

Print ISBN:978-3-8007-3529-7

IEEE ISWCS 2013 Best Paper Award

57. P. P. Markopoulos and G. N. Karystinos, "Novel Full-Rate Noncoherent Alamouti Encoding that Allows Polynomial-Complexity Optimal Decoding," in Proc. EEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, May 2013, pp. 5075-5079.

DOI: https://doi.org/10.1109/ICASSP.2013.6638628 

58. P. P. Markopoulos, S. Kundu, and D. A. Pados, "Short-Data-Record Filtering of PN-Masked Data," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, May 2013, pp. 4559-4563. 

DOI: https://doi.org/10.1109/ICASSP.2013.6638523 

59. A. Bletsas, A. Vlachaki, E. Kampianakis, G. Sklivanitis, J. Kimionis, K. Tountas, M. Asteris, and P. P. Markopoulos, "Towards Precision Agriculture: Building a Soil Wetness Multi-Hop WSN from First Principles," in Proc. International Workshop in Sensing Technologies in Architecture, Forestry and Environment (ECOSENSE) Belgrade, Serbia, April 2011, pp. 1-4.

1. D. G. Chachlakis, M. Dhanaraj, P. P. Markopoulos, A. Prater-Bennette, and I. Tomeo, "D-L1-Tucker: Dynamic and Robust Analysis of Tensor Data Based on Absolute Projection Maximization," to appear in Handbook on Dynamic Data Driven Application Systems  (Vol. II).

2. F. Ahmad and P. P. Markopoulos, "L1-Norm Principal Component and Discriminant Analyses of Micro-Doppler Signatures for Indoor Human Activity Recognition," in Micro-Doppler Radar and its Applications, F. Fioranelli, M Ritchie, A. Balleri and H. Griffiths (Eds.), IET Press, 2020. 

3. P. P. Markopoulos, S. Kundu, S. Chamadia, N. Tsagkarakis, and D. A. Pados, "Outlier-Resistant Data Processing with L1-norm Principal Component Analysis," in Advances in Principal Component Analysis: Research and Development, Ganesh R. Naik (Ed.), Springer, 2018.