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Clustering algorithm, which use generalized Gaussian distribution and non-normal distributions

2015/19/D/ST6/01472

Keywords

Descriptors

  • ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowanie w przetwarzaniu sygnałów
  • ST6_7: Sztuczna inteligencja, systemy inteligentne i wieloagentowe

Panel

ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Voivodeship: małopolskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr Przemysław Spurek

Number of co-investigators in the project: 3

Call

SONATA 10 – announced on 2015-09-15

Amount awarded
188 400 PLN
Project start date
2016-06-13
Project end date
2020-06-12
Project duration
48 months (the same as in the proposal)
Project status
Project settled

Project description

Download the project description in a pdf file

Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

Publication in academic press/journals (8)

  1. Fast independent component analysis algorithm with a simple closed-form solution

    Authors:
    Przemysław Spurek, Jacek Tabor, Łukasz Struski, Marek Śmieja
    Academic press:
    Knowledge-Based Systems (year: 2018, volume: 161, pages: 26-34), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2018.07.027 – link to the publication

  2. Projected memory clustering

    Authors:
    Ł. Struski, P.Spurek , J.Tabor , M. Śmieja
    Academic press:
    Pattern Recognition Letters (year: 2019, volume: 123, pages: 46280), Publisher: Elsevie
    Status:
    Published
    DOI:
    10.1016/j.patrec.2019.02.023 – link to the publication

  3. Deep learning approach to bacterial colony classification

    Authors:
    B. Zieliński A. Plichta K. Misztal P. Spurek M. Brzychczy-Włoch D. Ochońska
    Academic press:
    PLoS ONE (year: 2017, volume: 12, pages: e0184554), Publisher: Public Library of Science
    Status:
    Published
    DOI:
    10.1371/journal.pone.0184554 – link to the publication

  4. SVM with a neutral class

    Authors:
    M. Śmieja J. Tabor P. Spurek
    Academic press:
    Pattern Analysis and Applications (year: 2019, volume: 22, pages: 573–582), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s10044-017-0654-3 – link to the publication

  5. Acitive Function Cross Entropy Clustering

    Authors:
    P. Spurek J. Tabor K. Byrski
    Academic press:
    Expert Systems with Applications (year: 2017, volume: 72, pages: 49-66), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2016.12.011 – link to the publication

  6. Online updating of active function cross-entropy clustering

    Authors:
    Przemysław Spurek, Jacek Tabor, Krzysztof Byrski
    Academic press:
    Pattern Analysis and Applications (year: 2018, volume: -, pages: 1--17), Publisher: Springer London
    Status:
    Published
    DOI:
    10.1007/s10044-018-0701-8 – link to the publication

  7. General split gaussian Cross–Entropy clustering

    Authors:
    P. Spurek
    Academic press:
    Expert Systems with Applications (year: 2017, volume: 68, pages: 58–68), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2016.10.025 – link to the publication

  8. ICA based on asymmetry

    Authors:
    P. Spurek J. Tabor P. Rola M. Ociepka
    Academic press:
    Pattern Recognition (year: 2017, volume: 67, pages: 230–244), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.patcog.2017.02.019 – link to the publication

Articles in post-conference publications (3)

  1. Processing of missing data by neural networks

    Authors:
    Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek
    Conference:
    Curran Associates, Inc. (year: 2018, pages: 2724--2734), Publisher: Advances in Neural Information Processing Systems 31
    Date:
    conference 02.12-08.12
    Status:
    Published
    DOI:
    link to the publication

  2. Set Aggregation Network as a Trainable Pooling Layer

    Authors:
    Ł Maziarka, M. Śmieja, A. Nowak, J. Tabor, Ł. Struski, P. Spurek
    Conference:
    INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING (year: 2019, pages: 419-431), Publisher: Springer
    Date:
    conference 12.12-15.12
    Status:
    Published

  3. Split-and-merge Tweak in Cross Entropy Clustering

    Authors:
    K. Hajto K. Kamieniecki K. Misztal P. Spurek
    Conference:
    Międzynarodowa (year: 2017, pages: 193--204), Publisher: Springer
    Date:
    conference 16-18 czerwiec 2017
    Status:
    Published

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Graphic design and implementation: Jakub Piotrowski