Amanote Research
Register
Sign In
Mining the Bilinear Structure of Data With Approximate Joint Diagonalization
doi 10.1109/eusipco.2016.7760332
Full Text
Open PDF
Abstract
Available in
full text
Date
August 1, 2016
Authors
Louis Korczowski
Florent Bouchard
Christian Jutten
Marco Congedo
Publisher
IEEE
Related search
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers
IEEE Transactions on Neural Networks
Approximate Joint Diagonalization According to the Natural Riemannian Distance
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2
TEMA (São Carlos)
On the Diagonalization of a Bilinear Hamiltonian by a Bogoliubov Transformation
Publications of the Research Institute for Mathematical Sciences
Mathematics
Managing Data With Data Mining
International Journal of Information System and Engineering
A Joint-Channel Diagonalization for Multiuser MIMO Antenna Systems
IEEE Transactions on Wireless Communications
Electronic Engineering
Applied Mathematics
Computer Science Applications
Electrical
Approximate Parallel High Utility Itemset Mining
Big Data Research
Management
Computer Science Applications
Information Systems
Management Information Systems
Approximate Observability of Infinite Dimensional Bilinear Systems Using a Volterra Series Expansion
Systems and Control Letters
Control
Systems Engineering
Mechanical Engineering
Electronic Engineering
Electrical
Computer Science
A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
