World's Best Scientists 2026 revealed!
Juha Karhunen

Juha Karhunen

D-Index & Metrics

Computer Science

D-Index
38
Citations
20492
World Ranking
9934
National Ranking
82

Overview

Juha Karhunen is affiliated with Aalto University in Finland. The researcher's academic profile is characterized by engagement with the university's environment, contributing to its research community.

No recent papers, frequent co-authors, publication venues, book publications, fields of study, subfields, or main topics of work have been recorded in the given data.

No awards or distinctions have been documented for Juha Karhunen in the provided information.

The profile reflects information strictly based on available data without extrapolation beyond confirmed facts.

Best Publications

  • Independent Component Analysis

    Aapo Hyvarinen;Juha Karhunen;Erkki Oja

  • Independent Component Analysis

    Unknown

  • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix

    Erkki Oja;Juha Karhunen

  • A class of neural networks for independent component analysis

    J. Karhunen;E. Oja;L. Wang;R. Vigario

  • Representation and separation of signals using nonlinear PCA type learning

    Juha Karhunen;Jyrki Joutsensalo

  • Generalizations of principal component analysis, optimization problems, and neural networks

    Juha Karhunen;Jyrki Joutsensalo

  • Advances in Nonlinear Blind Source Separation

    Christian Jutten;Juha Karhunen

  • Neural approaches to independent component analysis and source separation.

    Juha Karhunen

  • Nonlinear Blind Source Separation by Self-Organizing Maps

    P. Pajunen;A. Hyvärinen;J. Karhunen

  • An unsupervised ensemble learning method for nonlinear dynamic state-space models

    Harri Valpola;Juha Karhunen

  • Applications of neural blind separation to signal and image processing

    J. Karhunen;A. Hyvarinen;R. Vigario;J. Hurri

  • ADVANCES IN BLIND SOURCE SEPARATION (BSS) AND INDEPENDENT COMPONENT ANALYSIS (ICA) FOR NONLINEAR MIXTURES

    Christian Jutten;Juha Karhunen

  • The nonlinear PCA criterion in blind source separation: Relations with other approaches

    Juha Karhunen;Petteri Pajunen;Erkki Oja

  • Neural networks for blind separation with unknown number of sources

    Andrzej Cichocki;Juha Karhunen;Wlodzimierz Kasprzak;Ricardo Vigário

  • Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes

    Antti Honkela;Tapani Raiko;Mikael Kuusela;Matti Tornio

  • AN EXPERIMENTAL COMPARISON OF NEURAL ALGORITHMS FOR INDEPENDENT COMPONENT ANALYSIS AND BLIND SEPARATION

    Xavier Giannakopoulos;Juha Karhunen;Erkki Oja

  • Signal Separation by Nonlinear Hebbian Learning

    E. Oja;J. Karhunen

  • Bidirectional recurrent neural networks as generative models

    Mathias Berglund;Tapani Raiko;Mikko Honkala;Leo Kärkkäinen

  • Principal Component Analysis for Large Scale Problems with Lots of Missing Values

    Tapani Raiko;Alexander Ilin;Juha Karhunen

  • A unified neural bigradient algorithm for robust PCA and MCA.

    Liuyue Wang;Juha Karhunen

  • Image Feature Extraction Using Independent Component Analysis

    J. Hurri;A. Hyvärinen;J. Karhunen;E. Oja

  • Principal component neural networks -- Theory and applications

    J. Karhunen

Frequent Co-Authors

Erkki Oja
Erkki Oja Aalto University
Aapo Hyvärinen
Aapo Hyvärinen University of Helsinki
H. Maier
H. Maier University of Hannover
S. Brezinsek
S. Brezinsek Forschungszentrum Jülich
Kai Nordlund
Kai Nordlund University of Helsinki
Gerald Pintsuk
Gerald Pintsuk Forschungszentrum Jülich
Jochen Linke
Jochen Linke Forschungszentrum Jülich
R. Dux
R. Dux Max Planck Society
C. Angioni
C. Angioni Max Planck Society
R. Neu
R. Neu Max Planck Institute for Plasma Physics

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

While traditional Computer Science programs in the USA provide a strong foundation, many students explore related online degrees to boost their career prospects. For those interested in data protection and digital defense, an accelerated cyber security program lets you gain in-demand expertise quickly, often at your own pace.

If managing large-scale projects interests you, pursuing the best 2 year construction management degree online can open doors to tech-driven roles in construction and infrastructure sectors. For students passionate about security, investigating the cheapest online master's degree in criminal justice may lead to cybercrime and policy positions.

Additionally, business-minded tech professionals often consider the cost of accounting degree online to enhance their understanding of financial systems and analytics. Each of these pathways combines technical expertise with real-world applications, helping graduates stand out in a competitive job market.

Best Scientists Citing Juha Karhunen

Trending Scientists