Paris A. Karakasis

Orcid: 0000-0002-9117-7404

According to our database1, Paris A. Karakasis authored at least 17 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Penalizing Localized Dirichlet Energies in Low Rank Tensor Products.
CoRR, January, 2026

Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering.
IEEE Trans. Signal Process., 2026

2025
Signal Alignment in Frequency-Hopped IoT Networks.
IEEE Trans. Wirel. Commun., May, 2025

2024
A Link Between Multiuser MMSE and Canonical Correlation Analysis.
IEEE Wirel. Commun. Lett., January, 2024

Minimizing Low-Rank Models of High-Order Tensors: Hardness, Span, Tight Relaxation, and Applications.
IEEE Trans. Signal Process., 2024

Multivariate Density Estimation Using Low-Rank Fejér-Riesz Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multiview Analog FM Radio Underlay.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2023
Revisiting Deep Generalized Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2023

Harnessing the Power of Repetition Structure in Ultra-Narrowband IoT.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Clustering on the Stiefel Manifold with Symmetric Block Term Decomposition.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
A Simple and Practical Underlay Scheme for Short-Range Secondary Communication.
IEEE Trans. Wirel. Commun., 2022

Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis.
IEEE Trans. Image Process., 2022

Finding the smallest or largest element of a tensor from its low-rank factors.
CoRR, 2022

2021
Joint Graph Embedding and Alignment with Spectral Pivot.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Multi-subject Resting-State fMRI Data Analysis via Generalized Canonical Correlation Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis <sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Alternating Optimization for Tensor Factorization with Orthogonality Constraints: Algorithm and Parallel Implementation.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018


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