Sergios Theodoridis

发表

Sergios Theodoridis, Sergios Theodoridis, 2015 .

Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior pdf

Yik-Chung Wu, Lei Cheng, Qingjiang Shi, 2020, ArXiv.

A novel structure for adaptive LS FIR filtering based on QR decomposition

George V. Moustakides, Sergios Theodoridis, Angelos P. Varvitsiotis, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

( SPECIAL SECTION - DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS )

Rabab K. Ward, Petar M. Djuric, Ling Guan, 2006 .

Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition pdf

Sotirios Chatzis, Sergios Theodoridis, Konstantinos P. Panousis, 2020, ArXiv.

Sparsity-Aware Learning: Algorithms and Applications

Sergios Theodoridis, Sergios Theodoridis, S. Theodoridis, 2020, Machine Learning.

Basic concepts and algorithmic schemes

Nicholas Kalouptsidis, Sergios Theodoridis, N. Kalouptsidis, 1993 .

Channel equalization for coded signals in hostile environments

Kristina Georgoulakis, Sergios Theodoridis, 1998 .

Highly parallel algorithms for LS FIR smoothing and MEM spectral analysis

Nicholas Kalouptsidis, Sergios Theodoridis, D. Bakirtzis, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

PARLE'94 Parallel Architectures and Languages Europe

Sergios Theodoridis, George Philokyprou, Costas Halatsis, 1994, Lecture Notes in Computer Science.

Chapter 12 – Clustering Algorithms I: Sequential Algorithms

Sergios Theodoridis, S. Theodoridis, 2006 .

All-digital spectrum analyser based on a parallel algorithm

Dimitrios Soudris, Spiridon Nikolaidis, Sergios Theodoridis, 1991, [1991 Proceedings] 6th Mediterranean Electrotechnical Conference.

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning pdf

Sotirios Chatzis, Sergios Theodoridis, Konstantinos P. Panousis, 2021, AISTATS.

Training-Based Estimation of Correlated MIMO Fading Channels in the Presence of Colored Interference

Dimitrios Katselis, Sergios Theodoridis, Eleftherios Kofidis, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Probabilistic Graphical Models: Part II

Sergios Theodoridis, S. Theodoridis, 2015 .

Chapter 5 – Stochastic Gradient Descent: The LMS Algorithm and its Family

Sergios Theodoridis, 2015 .

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process

Shuguang Cui, Sergios Theodoridis, Tianjian Zhang, 2020, UAI.

Classification: A Tour of the Classics

Sergios Theodoridis, Sergios Theodoridis, 2015 .

Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption — A β-Divergence Approach

Sergios Theodoridis, Michiel Vandecappelle, Lieven De Lathauwer, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Toward the 6G Network Era: Opportunities and Challenges

Ioannis Tomkos, Dimitrios Klonidis, Sergios Theodoridis, 2020, IT Professional.

Reduced-complexity clustering techniques for nonlinear channel equalization

Sergios Theodoridis, Yannis Kopsinis, S. Theodoridis, 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

Adaptive system identification and signal processing algorithms

Nicholas Kalouptsidis, Sergios Theodoridis, 1993 .

Array processor for LS FIR system identification

Constantinos E. Goutis, Spiridon Nikolaidis, Sergios Theodoridis, 1991 .

Efficient least squares adaptive algorithms for FIR transversal filtering

George-Othon Glentis, Kostas Berberidis, Sergios Theodoridis, 1999, IEEE Signal Process. Mag..

Bayesian Learning: Inference and the EM Algorithm

Sergios Theodoridis, Sergios Theodoridis, 2015 .

Parallel algorithm for MSE estimation of 2-D noncausal image models

Nicholas Kalouptsidis, Sergios Theodoridis, 1987 .

New multichannel fast QRD-LS adaptive algorithms

Athanasios A. Rontogiannis, Sergios Theodoridis, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

Stochastic Gradient Descent

Sergios Theodoridis, S. Theodoridis, 2015 .

LS FIR Smoothers and application to interference rejection in PN spread spectrum systems

Nicholas Kalouptsidis, Sergios Theodoridis, J. Proakis, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

( SPECIAL SECTION - SIGNAL PROCESSING FOR WIRELESS AD HOC COMMUNICATION NETWORKS )

Rabab K. Ward, Sanjit K. Mitra, Zixiang Xiong, 2006 .

Intelligent Imaging Sensors: System development and preliminary results

Dimosthenis E. Bolanakis, Gary J. Royle, Sergios Theodoridis, 2006 .

FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing

Deshi Li, Qinglei Kong, Yue Xu, 2020, IEEE Open Journal of Signal Processing.

Early soft and flexible fusion of EEG and fMRI via tensor decompositions pdf

Sabine Van Huffel, Lieven De Lathauwer, Sergios Theodoridis, 2020, ArXiv.

Online Learning: the Stochastic Gradient Descent Family of Algorithms

Sergios Theodoridis, Sergios Theodoridis, S. Theodoridis, 2020 .

FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing pdf

Shuguang Cui, Deshi Li, Qinglei Kong, 2020, ArXiv.

Pattern Recognition

Sergios Theodoridis, 2002, Encyclopedia of Information Systems.

Chapter 14 – Clustering Algorithms III: Schemes Based on Function Optimization

Sergios Theodoridis, 2006 .