Concepedia

Streaming Principal Component Analysis

Streaming Principal Component Analysis is a streaming algorithmic framework that performs principal component analysis incrementally by processing high-dimensional data vectors sequentially in a single pass, maintaining low-dimensional projections through adaptive updates to the principal components under limited storage and computational resources.

38

Publications

1.4K

Citations

99

Authors

56

Institutions

Publications per year

2017–2026

17

Parents

Publications

38

Incremental tensor analysis

Jimeng Sun, Dacheng Tao, Spiros Papadimitriou et al. · ACM Transactions on Knowledge Discovery from Data · 2008 · 256 citations

, , +16

The Noisy Power Method: A Meta Algorithm with Applications

Moritz Hardt, Eric Price · arXiv (Cornell University) · 2013 · 102 citations · Full text

, , +16

Online Principal Component Analysis in High Dimension: Which Algorithm\n to Choose?

Hervé Cardot, David Degras · arXiv (Cornell University) · 2015 · 97 citations · Full text

, , +16

Optimal principal component analysis in distributed and streaming models

Christos Boutsidis, David P. Woodruff, Peilin Zhong · 2016 · 90 citations

, , +15

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data

Neural Computation · 2015 · 86 citations · Full text

, , +17

1–5 of 38

Authors

99

  1. PN
    Praneeth Netrapalli

    Microsoft (United States), United States

    2 publications · 32 citations

    2

    h-index

  2. PJ
    Prateek Jain

    The University of Texas at Austin, United States

    2 publications · 32 citations

    2

    h-index

  3. AB
    Alessio Burrello

    University of Bologna, Italy

    2 publications · 45 citations

    2

    h-index

  4. WS
    Wolfram Schenck

    Hochschule Bielefeld, Germany

    2 publications · 95 citations

    2

    h-index

  5. YL
    Yuanzhi Li

    Princeton University, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 99

Institutions

56

  1. Carnegie Mellon University

    Pittsburgh, United States

    4 h-index

    7 publications

    350 citations

  2. IBM Research - Almaden

    San Jose, United States

    2 h-index

    3 publications

    214 citations

  3. University of Bologna

    Bologna, Italy

    2 h-index

    9 publications

    225 citations

  4. ETH Zurich

    Zurich, Switzerland

    2 h-index

    2 publications

    45 citations

  5. Tsinghua University

    Beijing, China

    2 h-index

    6 publications

    245 citations

  6. The University of Texas at Austin

    Austin, United States

    2 h-index

    4 publications

    164 citations

  7. Hochschule Bielefeld

    Bielefeld, Germany

    2 h-index

    4 publications

    190 citations

  8. Bielefeld University

    Bielefeld, Germany

    2 h-index

    2 publications

    95 citations

1–8 of 56

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 433 citations

    11

    h-index

  2. International Conference on Machine Learning

    Conference · 2 publications · 53 citations

    2

    h-index

  3. Neural Computation

    1 publications · 86 citations

    1

    h-index

  4. ArXiv.org

    Repository · 1 publications · 22 citations

    1

    h-index

  5. Journal of Quality Technology

    1 publications · 19 citations

    1

    h-index

1–5