Panos P. Markopoulos

Affiliations:
  • Rochester Institute of Technology, Department of Electrical and Microelectronic Engineering, NY, USA


According to our database1, Panos P. Markopoulos authored at least 57 papers between 2013 and 2024.

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Bibliography

2024
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning.
CoRR, 2024

2022
On the Asymptotic L1-PC of Elliptical Distributions.
IEEE Signal Process. Lett., 2022

Robust Singular Values based on L1-norm PCA.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Incremental Task Learning with Incremental Rank Updates.
Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Stochastic Principal Component Analysis via Barron Loss.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Reduced-Rank L1-Norm Principal-Component Analysis With Performance Guarantees.
IEEE Trans. Signal Process., 2021

NASCon: Network-Aware Server Consolidation for server-centric wireless datacenters.
Sustain. Comput. Informatics Syst., 2021

YOLOrs: Object Detection in Multimodal Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

FFT calculation of the L1-norm principal component of a data matrix.
Signal Process., 2021

Structured autocorrelation matrix estimation for coprime arrays.
Signal Process., 2021

Dynamic L1-Norm Tucker Tensor Decomposition.
IEEE J. Sel. Top. Signal Process., 2021

Minimum Mean-Squared-Error autocorrelation processing in coprime arrays.
Digit. Signal Process., 2021

YOLOrs-lite: A Lightweight CNN For Real-Time Object Detection in Remote-Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Convolutional Auto-Encoder with Tensor-Train Factorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Improved L1-Tucker via L1-Fitting.
Proceedings of the 29th European Signal Processing Conference, 2021

Robust Barron-Loss Tucker Tensor Decomposition.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

What Can Ail Thee: New and Old Security Vulnerabilities of Wireless Datacenters.
Proceedings of the IEEE Global Communications Conference, 2020

Novel Algorithms for Lp-Quasi-Norm Principal-Component Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

Security Vulnerabilities of Server-Centric Wireless Datacenters.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

L1-Norm RESCAL Decomposition.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Realified L1-PCA for direction-of-arrival estimation: theory and algorithms.
EURASIP J. Adv. Signal Process., 2019

L1-Norm Tucker Tensor Decomposition.
IEEE Access, 2019

Network-Aware Server Consolidation for Wireless Data Centers.
Proceedings of the 10th International Conference on Networks of the Future, 2019

Stochastic Principal Component Analysis Via Mean Absolute Projection Maximization.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Robust Multi-Relational Learning With Absolute Projection Rescal.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Deep Ll-PCA of Time-Variant Data with Application to Brain Connectivity Measurements.
Proceedings of the 27th European Signal Processing Conference, 2019

Iteratively Re-weighted L1-PCA of Tensor Data.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Combinatorial Search for the Lp-Norm Principal Component of a Matrix.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
L1-Norm Principal-Component Analysis of Complex Data.
IEEE Trans. Signal Process., 2018

The Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition.
IEEE Signal Process. Lett., 2018

Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection.
IEEE J. Sel. Top. Signal Process., 2018

Mmse-Based Autocorrelation Sampling for Comprime Arrays.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Novel Algorithms for Exact and Efficient L1-NORM-BASED Tucker2 Decomposition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

L1-Norm Higher-Order Singular-Value Decomposition.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Novel Algorithm for Incremental L1-Norm Principal-Component Analysis.
Proceedings of the 26th European Signal Processing Conference, 2018

Semi-Blind Signal Recovery in Impulsive Noise with L1-Norm PCA.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Noncoherent Alamouti Phase-Shift Keying With Full-Rate Encoding and Polynomial-Complexity Maximum-Likelihood Decoding.
IEEE Trans. Wirel. Commun., 2017

Efficient L1-Norm Principal-Component Analysis via Bit Flipping.
IEEE Trans. Signal Process., 2017

L1-norm Principal-Component Analysis of Complex Data.
CoRR, 2017

Sparse waveform design for all-spectrum channelization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Linear Discriminant Analysis with few training data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

The Mean-Squared-Error of autocorrelation sampling in coprime arrays.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Subpixel target detection in hyperspectral images with local matched filtering in SLIC superpixels.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Subpixel target detection in hyperspectral images from superpixel background statistics.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Reduced-rank filtering on L1-norm subspaces.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

On the L1-Norm Approximation of a Matrix by Another of Lower Rank.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

L1-Norm Principal-Component Analysis via Bit Flipping.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Direction finding by complex L1-principal-component analysis.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

L1-fusion: Robust linear-time image recovery from few severely corrupted copies.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Optimal Algorithms for L<sub>1</sub>-subspace Signal Processing.
IEEE Trans. Signal Process., 2014

Fast computation of the L1-principal component of real-valued data.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Small-Sample-Support Suppression of Interference to PN-Masked Data.
IEEE Trans. Commun., 2013

Building a Low-Cost Digital Garden as a Telecom Lab Exercise.
IEEE Pervasive Comput., 2013

Some Options for L1-subspace Signal Processing.
Proceedings of the ISWCS 2013, 2013

Short-data-record filtering of PN-masked data.
Proceedings of the IEEE International Conference on Acoustics, 2013

Novel full-rate noncoherent alamouti encoding that allows polynomial-complexity optimal decoding.
Proceedings of the IEEE International Conference on Acoustics, 2013


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