Yet rapid ICA: Applications to un-indexed image-to-image retrieval

Ryota Yokote, Yasuo Matsuyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    A faster algorithm of ICA is devised. This method utilizes multi-step past information with the existing fixed-point method. The use of past information comes from the idea of surrogate optimization. The speed and implemented software are checked for both simulated and read data. The presented ICA, named Rapid ICA, is applied to image-to-image retrieval without indices. Images judged to be similar reflected user's opinion well.

    Original languageEnglish
    Title of host publicationProceedings of the International Joint Conference on Neural Networks
    DOIs
    Publication statusPublished - 2010
    Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona
    Duration: 2010 Jul 182010 Jul 23

    Other

    Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
    CityBarcelona
    Period10/7/1810/7/23

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    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence

    Cite this

    Yokote, R., & Matsuyama, Y. (2010). Yet rapid ICA: Applications to un-indexed image-to-image retrieval. In Proceedings of the International Joint Conference on Neural Networks [5596895] https://doi.org/10.1109/IJCNN.2010.5596895