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Jos M. F. ten Berge

Jos M. F. ten Berge

D-Index & Metrics

Mathematics

D-Index
34
Citations
6183
World Ranking
2882
National Ranking
35

Overview

Jos M. F. ten Berge is affiliated with the University of Groningen in the Netherlands. Their research spans multiple fields, with primary focus areas in Computer Science and Agricultural and Biological Sciences. The scientist's work reflects an interdisciplinary approach, integrating methods and applications across diverse domains.

The main fields of study attributed to Jos M. F. ten Berge include:

  • Computer Science
  • Agricultural and Biological Sciences

Within these fields, specific subfields are highlighted that demonstrate the breadth of their research interests. These subfields are:

  • Signal Processing
  • Food Science
  • Computer Vision and Pattern Recognition

The scientific topics frequently addressed by Jos M. F. ten Berge encompass both theoretical and applied areas. The main topics of their work are:

  • Blind Source Separation Techniques
  • Sensory Analysis and Statistical Methods
  • Face and Expression Recognition

Collaboration is evident in their research profile with several frequent co-authors, indicating ongoing working relationships and interdisciplinary projects. These co-authors include:

  • Kohei Adachi
  • Henk A. L. Kiers
  • Takashi Murakami

Best Publications

  • Tucker's congruence coefficient as a meaningful index of factor similarity.

    Urbano Lorenzo-Seva;Jos M. F. ten Berge

  • PARAFAC2 : PART I. A DIRECT FITTING ALGORITHM FOR THE PARAFAC2 MODEL

    Henk A. L. Kiers;Jos M. F. ten Berge;Rasmus Bro

  • Orthogonal Procrustes Rotation for Two or More Matrices.

    Jos M. F. Ten Berge

  • The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality

    Jos M. F. Ten Berge;Gregor Sočan

  • Almost sure identifiability of multidimensional harmonic retrieval

    Tao Jiang;N.D. Sidiropoulos;J.M.F. ten Berge

  • A numerical approach to the approximate and the exact minimum rank of a covariance matrix

    Jos M.F. ten Berge;Henk A.L. Kiers

  • Matrix correlation

    J. O. Ramsay;Jos ten Berge;G. P. H. Styan

  • On uniqueness in CANDECOMP/PARAFAC

    Jos M. F. ten Berge;Nikolaos D. Sidiropoulos

  • Some new results on correlation-preserving factor scores prediction methods

    Jos M.F. ten Berge;Wim P. Krijnen;Tom Wansbeek;Alexander Shapiro

  • Statistical inference of minimum rank factor analysis

    Alexander Shapiro;Jos M. F. ten Berge

  • Hierarchical relations between methods for simultaneous component analysis and a technique for rotation to a simple simultaneous structure

    Henk A.L. Kiers;Jos M.F. ten Berge

  • Perceptual Mapping Based on Idiosyncratic Sets of Attributes

    Jan-Benedict E.M. Steenkamp;Hans C.M. Van Trijp;Jos M.F. Ten Berge

  • A family of association coefficients for metric scales

    Frits E. Zegers;Jos M. F. ten Berge

  • Alternating least squares algorithms for simultaneous components analysis with equal component weight matrices in two or more populations

    Henk A. L. Kiers;Jos M. F. ten Berge

  • COMPUTATIONAL ASPECTS OF THE GREATEST LOWER BOUND TO THE RELIABILITY AND CONSTRAINED MINIMUM TRACE FACTOR-ANALYSIS

    Jos M. F. ten Berge;Tom A. B. Snijders;Frits E. Zegers

  • Kruskal's polynomial for 2×2×2 arrays and a generalization to 2×n×n arrays

    Jos M. F. ten Berge

  • Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices.

    Alwin Stegeman;Jos M. F. Ten Berge;Lieven De Lathauwer

  • Simplicity of core arrays in three-way principal component analysis and the typical rank of p×q×2 arrays

    Jos M.F. Ten Berge;Henk A.L. Kiers

  • Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms

    Jos M. F. ten Berge;Jan de Leeuw;Pieter M. Kroonenberg

  • A general solution to Mosier's oblique procrustes problem

    Jos M. F. ten Berge;Klaas Nevels

  • Partial uniqueness in CANDECOMP/PARAFAC

    Jos M. F. ten Berge

Frequent Co-Authors

Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Alexander Shapiro
Alexander Shapiro Georgia Institute of Technology
Jan de Leeuw
Jan de Leeuw University of California, Los Angeles
Yoshio Takane
Yoshio Takane University of Victoria
Tom A. B. Snijders
Tom A. B. Snijders University of Groningen
Rasmus Bro
Rasmus Bro University of Copenhagen
Age K. Smilde
Age K. Smilde University of Amsterdam

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