Konstantinos Slavakis - Publications, H-index & Citations

Konstantinos Slavakis

Institute of Science Tokyo

23H指数

171论文数

2.5K被引数

收录论文 15

发表时间

Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning 基于多线性核回归和流形学习对图中时变边流进行插补

SIGNAL PROCESSING

IF3.6

2025-05-31

PREAI

Duc Thien Nguyen; Konstantinos Slavakis; Dimitris Pados

Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case 通过kerne-arma建模和Grassmannian进行网络聚类: 大脑网络案例

SIGNAL PROCESSING

IF3.6

2021-02-01

OAAI

Ye, Cong; Slavakis, Konstantinos; Patil, Pratik V.; Nakuci, Johan; Muldoon, Sarah F.; Medaglia, John

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery

IEEE TRANSACTIONS ON MEDICAL IMAGING

IF9.8

2020-03-01

OAAI

Shetty, Gaurav N.; Slavakis, Konstantinos; Bose, Abhishek; Nakarmi, Ukash; Scutari, Gesualdo; Ying, Leslie

Robust Hierarchical-Optimization RLS Against Sparse Outliers

ieee signal processing magazine

IF3.9

2020-01-01

OAAI

Slavakis, Konstantinos; Banerjee, Sinjini

Clustering Brain-Network Time Series by Riemannian Geometry 通过Riemannian几何对脑网络时间序列进行聚类

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS

IF4.9

2018-09-01

OAAI

Slavakis, Konstantinos; Salsabilian, Shiva; Wack, David S.; Muldoon, Sarah F.; Baidoo-Williams, Henry E.; Vettel, Jean M.; Cieslak, Matthew; Grafton, Scott T.

Sketch and Validate for Big Data Clustering

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING

IF13.7

2015-06-01

OAAI

Traganitis, Panagiotis A.; Slavakis, Konstantinos; Giannakis, Georgios B.

Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics

IEEE SIGNAL PROCESSING MAGAZINE

IF9.6

2014-11-01

PREAI

Slavakis, Konstantinos; Kim, Seung-Jun; Mateos, Gonzalo; Giannakis, Georgios B.

Modeling and Optimization for Big Data Analytics

IEEE SIGNAL PROCESSING MAGAZINE

IF9.6

2014-09-01

179

PREAI

Slavakis, Konstantinos; Giannakis, Georgios B.; Mateos, Gonzalo

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise

ieee signal processing magazine

IF3.9

2013-07-01

PREAI

Chouvardas, Symeon; Slavakis, Konstantinos; Theodoridis, Sergios; Yamada, Isao

Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING

IF13.7

2013-04-01

OAAI

Chouvardas, Symeon; Slavakis, Konstantinos; Theodoridis, Sergios

Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

IF8.9

2012-03-01

PREAI

Bouboulis, Pantelis; Slavakis, Konstantinos; Theodoridis, Sergios

Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

IF8.9

2012-02-01

PREAI

Slavakis, Konstantinos; Bouboulis, Pantelis; Theodoridis, Sergios

Adaptive Learning in a World of Projections

IEEE SIGNAL PROCESSING MAGAZINE

IF9.6

2011-01-01

179

PREAI

Theodoridis, Sergios; Slavakis, Konstantinos; Yamada, Isao

Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization

IEEE TRANSACTIONS ON IMAGE PROCESSING

IF13.7

2010-06-01

PREAI

Bouboulis, Pantelis; Slavakis, Konstantinos; Theodoridis, Sergios

Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method

SIGNAL PROCESSING

IF3.6

2003-05-01

PREAI

Slavakis, K; Yamada, I; Sakaniwa, K

研究方向