Publications

Journals

Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning

M. Sharma, J. Heard, E. Saber, and P. Markopoulos

IEEE Access, vol. 13, pp. 18441-18456, 2025.  

DOI: https://doi.org/10.1109/ACCESS.2025.3533419


Quantum Annealing for Robust Principal Component Analysis

Tomeo, P. P. Markopoulos, and A. Savakis

arXiv:2501.10431v2 [cs.ET], January 2025.    

DOI: https://arxiv.org/abs/2501.10431v2


Regulating Modality Utilization within Multimodal Fusion Networks

S. Singh, E. Saber, P. P. Markopoulos, and J. Heard

Sensors, vol. 24, no. 6054, 2024. 

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


Joint Analysis and Segmentation of Time-varying Data with Outliers

S. Colonnese, G. Scarano, M. Marra, P. P. Markopoulos, and D. A. Pados

Digital Signal Processing (Elsevier), vol. 145, no. 104338, February 2024.    

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


On the Asymptotic L1-PC of Elliptical Distributions

M. Dhanaraj and P. P. Markopoulos

IEEE Signal Processing Letters, vol. 29, pp. 2343-2347, September 2022.   

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


FFT Calculation of the L1-norm Principal Component of a Data Matrix

S. Colonnese, P. P. Markopoulos, G. Scarano, and D. A. Pados

Signal Processing, vol. 189, no. 108286, August 2021.  

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


Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays

D. G. Chachlakis, T. Zhou, F. Ahmad, and P. P. Markopoulos

Digital Signal Processing, vol. 114, no. 103034, July 2021.  

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


Dynamic L1-norm Tucker Tensor Decomposition

D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos

IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, pp. 587-602, April 2021. 

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


Structured Autocorrelation Matrix Estimation for Coprime Arrays

D. G. Chachlakis and P. P. Markopoulos

Signal Processing, vol. 183, no. 107987, June 2021.  

DOI: https://doi.org/10.1016/j.sigpro.2021.107987 


YOLOrs: Object Detection in Multimodal Remote Sensing Imagery

M. Sharma, M. Dhanaraj, D. G. Chachlakis, S. Karam, R. Ptucha, P. P. Markopoulos, E. Saber

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1497-1508, November 2021.   

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


Reduced-Rank L1-Norm Principal-Component Analysis with Performance Guarantees

H. Kamrani, A. Zoghadr Asli, P. P. Markopoulos M. Langberg, D. A. Pados, and G. N. Karystinos

IEEE Transactions on Signal Processing, vol. 69, pp. 240-255, November 2020.    

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


NASCon: Network-Aware Server Consolidation for Server-Centric Wireless Datacenters

S. A. Mamun, A. Ganguly, P. P. Markopoulos, M. Kwon, and A. Kwasinski

Sustainable Computing: Informatics and Systems, vol. 29 (part A), no. 100452, March 2021.  

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


L1-Norm Tucker Tensor Decomposition

D. G. Chachlakis, P. P. Markopoulos, and A. Prater-Bennette

IEEE Access, vol. 7, pp. 178454-178465, November 2019.  

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


Spatial-Spectral Segmentation of Hyperspectral Images for Subpixel Target Detection

Y. Liang, P. P. Markopoulos, and E. Saber

SPIE Journal of Applied Remote Sensing, vol. 13, no. 3, pp. 036502:1-036502:16, July 2019.    

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


Realified L1-PCA for Direction-of-Arrival Estimation: Theory and Algorithms

P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos

EURASIP Journal on Advances in Signal Processing, no. 30, June 2019.   

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


Adaptive Radar-Based Human Activity Recognition with L1-norm Linear Discriminant Analysis

P. P. Markopoulos, S. Zlotnikov, and F. Ahmad

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, vol. 3, no. 2, pp. 120-126, June 2019. 

DOI: https://doi.org/10.1109/JERM.2019.2893587 


Adaptive L1-Norm Principal-Component Analysis with Online Outlier Rejection

P. P. Markopoulos, M. Dhanaraj, and A. Savakis

IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1131-1143, December 2018.  

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


L1-Norm Principal-Component Analysis of Complex Data

N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados

IEEE Transactions on Signal Processing, vol. 66, no. 12, pp. 3256-3267, June 2018.  

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


The Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition

P. P. Markopoulos, D. G. Chachlakis, and E. E. Papalexakis

IEEE Signal Processing Letters, vol. 25, no. 4, pp. 511-515, April 2018.  

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


Noncoherent Alamouti Phase-Shift Keying with Full-Rate Encoding and Polynomial-Complexity Maximum-Likelihood Decoding

P. P. Markopoulos and G. N. Karystinos

IEEE Transactions on Wireless Communications, vol. 16, no. 10, pp. 6688-6697, July 2017.   

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


Efficient L1-Norm Principal-Component Analysis via Bit Flipping

P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados

IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4252-4264, August 2017.  

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


Optimal Algorithms for L1-Subspace Signal Processing

P. P. Markopoulos, G. N. Karystinos, and D. A. Pados

IEEE Transactions on Signal Processing, vol. 62, no. 19, pp. 5046-5058, October 2014. 

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


Small-Sample-Support Suppression of Interference to PN-Masked Data

P. P. Markopoulos, S. Kundu, and D. A. Pados

IEEE Transactions on Communications, vol. 61, no. 7, pp. 2979-2987, July 2013.  

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


Building a Low-Cost Digital Garden as a Telecom Lab Exercise

Bletsas, A. Vlachaki, E. Kampianakis, G. Sklivanitis, J. Kimionis, K. Tountas, M. Asteris, and P. P. Markopoulos

IEEE Pervasive Computing, vol. 12, no. 1, pp. 48-57, January 2013.    

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

Conference Proceedings

Image Preprocessing and YOLO Architectures for Enhanced Small and Slow-Moving Object Detection

D. Velychko, S. Singh, P. P. Markopoulos, E. Saber, and J. Heard

in 2024 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1-4, 2024.    

DOI: https://doi.org/10.1109/WNYISPW63690.2024.10786503


Continual Learning in Convolutional Neural Networks with Tensor Rank Updates

M. Krol, R. Hyder, M. Peechatt, A. Prater-Bennette, M. S. Asif, and P. P. Markopoulos

in 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 1-5, 2024. 

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


L1-PCA with quantum annealing

Tomeo, P. P. Markopoulos, and A. Savakis

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 


Adaptive Federated Learning for Automatic Modulation Classification Under Class and Noise Imbalance

J. A. Sanchez Viloria, D. Stripelis, P. P. Markopoulos, G. Sklivanitis, and D. A. Pados

in Proc. AAAI 2024 Spring Symp. Series, Stanford University, Stanford, CA, March 2024, p. 309.  

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


Measuring Modality Utilization in Multi-Modal Neural Networks

S. Singh, P. P. Markopoulos, E. Saber, J. D. Lew, and J. Heard

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 


Multimodal aerial view object classification with disjoint unimodal feature extraction and fully-connected-layer fusion

S. Singh, M. Sharma, J. Heard, J. D. Lew, E. Saber, and P. P. Markopoulos

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 


HDA: an iterative hyperplane-search method for discriminant analysis

I. Tomeo and P. P. Markopoulos

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 


Robust Singular Values based on L1-norm PCA

D. H. Le and P. P. Markopoulos

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 


Robust Stochastic Principal Component Analysis via Barron Loss

M. Dhanaraj and P. P. Markopoulos

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 


Incremental Task Learning with Incremental Rank Updates

R. Hyder, K. Shao, B. Hou, P. P. Markopoulos, A. Prater-Bennette, and M. S. Asif

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_34 


Convolutional Auto-Encoder with Tensor-Train Factorization

M. Sharma, P. P. Markopoulos, E. Saber, M. S. Asif, and A. Prater-Bennette

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 


Improved L1-Tucker via L1-Fitting

M. Mozaffari, P. P. Markopoulos, and A. Prater-Bennette

in Proc. European Signal Processing Conference (EUSIPCO), Dublin, Ireland, August 2021, pp. 1075-1079.    

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


Robust Barron-Loss Tucker Tensor Decomposition

M. Mozaffari and P. P. Markopoulos

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 


YOLOrs-LITE: A Lightweight CNN for Real-time Object Detection in Remote Sensing

M. Sharma, P. P. Markopoulos, and E. Saber

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 


Novel Algorithms for Lp-quasi-norm Principal-Component Analysis

D. G. Chachlakis and P. P. Markopoulos

in Proc. European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, January 2021, pp. 1045-1049.   

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


What Can Ail Thee: New and Old Security Vulnerabilities of Wireless Datacenters

S. A. Mamun, A. Ganguly, P. P. Markopoulos, A. Kwasinski, and M. Kwon

in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2020, pp. 1-7.    

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


Robust Graph Localization for Underwater Acoustic Networks

G. Sklivanitis, P. P. Markopoulos, D. A. Pados, and R. Diamant

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 


L1-Norm RESCAL Decomposition

Y. Tsitsikas, D. G. Chachlakis, E. Papalexakis, P. P. Markopoulos

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 


L1-Norm Higher-order Orthogonal Iterations for Robust Tensor Analysis

D. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos

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 


Vehicle Detection from Multi-modal Aerial Imagery Using YOLOv3 with Mid-level Fusion

M. Dhanaraj, M. Sharma, T. Sarkar, S. Karnam, D. G. Chachlakis, R. Ptucha, P. P. Markopoulos, and E. Saber

in Proc. SPIE 11395, Big Data II: Learning, Analytics, and Applications, Anaheim, CA, April 2020, p. 1139506.   

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


Iteratively Re-weighted L1-norm PCA of Tensor Data

K. Tountas, D. G. Chachlakis, P. P. Markopoulos, and D. A. Pados

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 


Combinatorial Search for the Lp-Norm Principal Component of a Matrix

D. G. Chachlakis and P. P. Markopoulos

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 


Network-Aware Server Consolidation for Wireless Data Centers

S. A. Mamun, A. Ganguly, M. Kwon, A. Kwasinski, and P. P. Markopoulos

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 


Robust Multi-Relational Learning with Absolute Projection RESCAL

D. Chachlakis, Y. Tsitsikas, E. Papalexakis, and P. P. Markopoulos

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  


Stochastic Principal Component Analysis via Mean Absolute Projection Maximization

M. Dhanaraj and P. P. Markopoulos

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 


Deep L1-PCA of Time-Variant Data with Application to Brain Connectivity Measurements

G. Orrù, T. Cattai, S. Colonnese, G. Scarano, F. De Vico Fallani, P. P. Markopoulos, and D. A. Pados

in Proc. European Signal Processing Conference (EUSIPCO), A Coruna, Spain, September 2019, pp. 1-5.   

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


Options for Multimodal Classification Based on L1-Tucker Decomposition

D. G. Chachlakis, M. Dhanaraj, P. P. Markopoulos, and A. Prater-Bennette

in Proc. SPIE 10989, Big Data: Learning, Analytics, and Applications, Baltimore, MD, April 2019, 109890O.   

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


Incremental L1-Norm Linear Discriminant Analysis for Indoor Human Activity Classification

S. Zlotnikov, P. P. Markopoulos, and F. Ahmad

in Proc. IEEE Radar Conference (RadarConf), Boston, MA, April 2019, pp. 1-4.    

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


L1-Norm Higher-Order Singular-Value Decomposition

P. P. Markopoulos, D. G. Chachlakis, and A. Prater-Bennette

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.2018.8646384 


Gait Recognition Based on Tensor Analysis of Acceleration Data from Wearable Sensors

K. Bichave, O. Brewer, M. Gusinov, P. P. Markopoulos, and I. Puchades

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  Best Poster Award Runner-up


Incremental Complex L1-PCA for Direction-of-Arrival Estimation

M. Dhanaraj, D. G. Chachlakis, and P. P. Markopoulos

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.2018.8576444 


Semi-Blind Signal Recovery in Impulsive Noise with L1-Norm PCA

Gannon, G. Sklivanitis, P. P. Markopoulos, D. A. Pados, and S. N. Batalama

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.2018.8645514 


Novel Algorithm for Incremental L1-Norm Principal-Component Analysis

M. Dhanaraj and P. P. Markopoulos

in Proc. European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018, pp. 2020-2024.    

DOI: https://doi.org/10.23919/EUSIPCO.2018.8553234 


Robust Radar-Based Human Motion Recognition with L1-Norm Linear Discriminant Analysis

P. P. Markopoulos and F. Ahmad

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 


MMSE-Based Autocorrelation Sampling for Coprime Arrays

D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad

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 


Novel Algorithms for Exact and Efficient L1-Norm-Based TUCKER2 Decomposition

D. G. Chachlakis and P. P. Markopoulos

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.2018.8461834 


Robust Decomposition of 3-Way Tensors Based on L1-Norm

D. G. Chachlakis and P. P. Markopoulos

in Proc. SPIE 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, Orlando, FL, April 2018, p. 1065807. 

DOI: https://doi.org/10.1117/12.2307844 


A Linear Discriminative Analysis Based Fall Motion Detector Using Radar

S. Zlotnikov, P. Somaru, P. P. Markopoulos, and F. Ahmad

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 


The Mean-Squared-Error of Autocorrelation Sampling in Coprime Arrays

D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad

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 


Indoor Human Motion Classification by L1-Norm Subspaces of Micro-Doppler Signatures

P. P. Markopoulos and F. Ahmad

in Proc. IEEE Radar Conference (RadarConf), Seattle, WA, USA, May 2017, pp. 1807-1810.   

DOI: https://doi.org/10.1109/RADAR.2017.7944504 


L1-Norm Principal-Component Analysis in L2-Norm-Reduced-Rank Data Subspaces

P. P. Markopoulos, D. A. Pados, G. N. Karystinos, and M. Langberg

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 


Visual Tracking with L1-Grassmann Manifold Modeling

D. G. Chachlakis, P. P. Markopoulos, R. J. Muchhala, and A. Savakis

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 


Adaptive Sparse-Binary Waveform Design for All-Spectrum Channelization

G. Sklivanitis, P. P. Markopoulos, S. Batalama, and D. A. Pados

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 Award


Linear Discriminant Analysis with Few Training Data

P. P. Markopoulos

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 


Sparse Waveform Design for All-Spectrum Channelization

G. Sklivanitis, P. P. Markopoulos, S. Batalama, and D. A. Pados

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 


On the L1-norm Approximation of a Matrix by Another of Lower Rank

N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados

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 


L1-Norm Principal-Component Analysis via Bit Flipping

P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados

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 


Direction-of-Arrival Estimation from L1-Norm Principal Components

P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos

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


Subpixel Target Detection in Hyperspectral Images with Local Matched Filtering in SLIC Superpixels

Y. Liang, P. P. Markopoulos, and E. Saber

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 


Reduced-Rank Filtering on L1-Norm Subspaces

P. P. Markopoulos

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 


Subpixel Target Detection in Hyperspectral Images from Superpixel Background Statistics

Y. Liang, P. P. Markopoulos, and E. Saber

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 


L1-Fusion: Robust Linear-Time Image Recovery from Few Severely Corrupted Copies

P. P. Markopoulos, S. Kundu, and D. A. Pados

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 


Direction Finding by Complex L1-Principal Component Analysis

N. Tsagkarakis, P. P. Markopoulos, and D. A. Pados

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 


Direction Finding with L1-Norm Subspaces

P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos

in Proc. SPIE 9109, Compressive Sensing III, Baltimore, MD, May 2014, p. 91090J.  

DOI: https://doi.org/10.1117/12.2053049 Student Travel Grant Award


Fast Computation of the L1-Principal Component of Real-Valued Data

S. Kundu, P. P. Markopoulos, and D. A. Pados

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 


Some Options for L1-Subspace Signal Processing

P. P. Markopoulos, G. N. Karystinos, and D. A. Pados

in Proc. IEEE International Symposium on Wireless Communication Systems (ISWCS), Ilmenau, Germany, August 2013, pp. 622-626. Print ISBN:978-3-8007-3529-7 Received Best Paper Award


Novel Full-Rate Noncoherent Alamouti Encoding that Allows Polynomial-Complexity Optimal Decoding

P. P. Markopoulos and G. N. Karystinos

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 


Short-Data-Record Filtering of PN-Masked Data

P. P. Markopoulos, S. Kundu, and D. A. Pados

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 


Towards Precision Agriculture: Building a Soil Wetness Multi-Hop WSN from First Principles

Bletsas, A. Vlachaki, E. Kampianakis, G. Sklivanitis, J. Kimionis, K. Tountas, M. Asteris, and P. P. Markopoulos

in Proc. International Workshop in Sensing Technologies in Architecture, Forestry and Environment (ECOSENSE) Belgrade, Serbia, April 2011, pp. 1-4.