PUBLICATIONS
Journal Articles
[J6] D. G. Chachlakis, T. Zhou, F. Ahmad, and P. P. Markopoulos, Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays, in Digital Signal Processing (Elsevier), 2021.
Preprint @ arXiv, Science Direct, Matlab Codes[J5] D. G. Chachlakis and P. P. Markopoulos, Structured Autocorrelation Matrix Estimation for Coprime Arrays, in Signal Processing (Elsevier), 2021.
Preprint @ arXiv, Science Direct, Python Codes, C++ Codes[J4] D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos, Dynamic L1-norm Tucker Tensor Decomposition, accepted to appear in IEEE Journal of Selected Topics In Signal Processing, 2021.
Preprint @ TechRxiv, IEEE Xplore[J3] M. Sharma, M. Dhanaraj, S. Karnam, D. G. Chachlakis, 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, November 2020.
IEEE Xplore[J2] D. G. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos, L1-norm Tucker Tensor Decomposition, IEEE Access, November 2019.
Preprint @ arXiv, IEEE Xplore, Python Codes[J1] P. P. Markopoulos, D. G. Chachlakis, and E. E. Papalexakis, The exact solution to rank-1 L1-norm TUCKER2 decomposition, IEEE Signal Processing Letters, April 2018.
Preprint @ arXiv, IEEE Xplore, Python Codes
Conference Proceedings Articles
[C16] Y. Tsitsikas, D. G. Chachlakis, E. E. Papalexakis, and P. P. Markopoulos, L1-norm RESCAL decomposition, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2020), Pacific Grove, CA, November 2020.
[C15] D. G. Chachlakis and P. P. Markopoulos, Novel Algorithms for Lp-quasi-norm Principal-Component Analysis, in Proceedings European Signal Processing Conference (EUSIPCO 2020), Amsterdam, NL, January 2021.
IEEEXplore, Python Codes[C14] D. G. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos, L1-norm higher-order orthogonal iterations for robust tensor analysis, in Proceedings 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020), Barcelona, Spain, May 2020.
IEEE Xplore, Python Codes[C13] 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 Proceedings 2020 SPIE Defense and Commercial Sensing (SPIE DCS 2020), Anaheim, CA, April 2020.
SPIE Digital Library[C12] D. G. Chachlakis and P. P. Markopoulos, Combinatorial search for the Lp-norm principal component of a matrix, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2019), Pacific Grove, CA, November 2019.
IEEE Xplore, Python Codes[C11] K. Tountas, D. G. Chachlakis, P. P. Markopoulos, D. A. Pados, Iteratively Re-weighted L1-norm PCA of Tensor Data, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2019), Pacific Grove, CA, November 2019.
IEEE Xplore[C10] D. G. Chachlakis, Y. Tsitsikas, E. E. Papalexakis, and P. P. Markopoulos, Robust multi-relational learning with absolute projection RESCAL, in Proceedings IEEE Global Conference on Information Processing (IEEE GlobalSIP 2019), Ottawa, Canada, November 2019.
IEEE Xplore, Python Codes[C9] D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos, Options for multimodal classification based on L1-TUCKER decomposition, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2019), Baltimore, MD, April 2019.
SPIE Digital Library[C8] P. P. Markopoulos, D. G. Chachlakis, and A. Prater-Bennette, L1-norm Higher-Order Singular-Value Decomposition, in Proceedings IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2018), Anaheim, CA, November 2018.
IEEE Xplore, Python Codes[C7] M. Dhanaraj, D. G. Chachlakis, and P. P. Markopoulos, Incremental complex L1-PCA for direction-of-arrival estimation, in Proceedings IEEE Western New York Signal and Image Processing Workshop (IEEE WNYSIPW 2018), Rochester, NY, October 2018.
IEEE Xplore[C6] D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, MMSE-based autocorrelation sampling for coprime arrays, in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), Calgary, Canada, April 2018.
IEEE Xplore, Python Codes[C5] D. G. Chachlakis and P. P. Markopoulos, Novel algorithms for exact and efficient L1-norm-based TUCKER2 decomposition, in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), Calgary, Canada, April 2018.
IEEE Xplore, Python Codes[C4] D. G. Chachlakis and P. P. Markopoulos, Robust decomposition of 3-way tensors based on L1-norm, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2018), Orlando, FL, April 2018.
SPIE Digital Library, Python Codes[C3] D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, The mean-squared-error of autocorrelation sampling in coprime arrays, in Proceedings IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (IEEE CAMSAP 2017), Curacao, Dutch Antilles, December 2017.
IEEE Xplore, Python Codes[C2] D. G. Chachlakis, P. P. Markopoulos, R. J. Muchhala, and A. Savakis, Visual tracking with L1-Grassmann manifold modeling, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2017), Anaheim, CA, April 2017.
SPIE Digital Library[C1] Y. Fountzoulas, D. G. Chachlakis, G. N. Karystinos, and A. Bletsas, GLRT-optimal blind MSK detection with log-linear complexity, in Proceedings International Conference on Telecommunications (IEEE ICT 2016), Thessaloniki, Greece, May 2016.
IEEE Xplore
Invited Talks and Presentations
[T4] D. G. Chachlakis, invited speaker, The Lp-PC of a matrix, for p<1, School of Electrical and Computer Engineering, Technical University of Crete, Summer School on Data Analysis, Aug. 2020.
[T3] D. G. Chachlakis, invited speaker, The Lp Principal-Component of a matrix for p<1, SIAM Conference on Imaging Science (IS20), Minisymposium: Tensor Methods for Image Processing, Jul. 2020.
[T2] D. G. Chachlakis, invited speaker, Reliable tensor data analysis based on L1-norm formulation, Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, MS Graduate Seminar, Feb. 2019.
[T1] D. G. Chachlakis, invited speaker, Reliable analytics from faulty data via Lp-norm optimization, Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, MS Graduate Seminar, Sep. 2017.
Thesis and Ph.D. Dissertation
[D2] D. G. Chachlakis, Theory and algorithms for reliable multi-modal data analysis, machine learning, and signal processing, Ph.D. Dissertation, Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, May 2021.
[D1] D. G. Chachlakis, Optimal noncoherent Trellis Decoding, Engineering Diploma Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Jul. 2016.