• DocumentCode
    3018809
  • Title

    Artificial Complex Cells via the Tropical Semiring

  • Author

    Wolf, Lior ; Guttmann, Moshe

  • Author_Institution
    Tel Aviv Univ., Tel Aviv
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The seminal work of Hubel and Wiesel (1965) and the vast amount of work that followed it prove that hierarchies of increasingly complex cells play a central role in cortical computations. Computational models, pioneered by Fukushima (1980), suggest that these hierarchies contain feature-building cells ("S-cells") and pooling cells ("C-cells"). More recently, Riesenhuber & Poggio have developed the HMAX model (1999), in which S-cells perform linear combinations, while C-cells perform a MAX operation. We note that methods for computing the connectivity of S-cells abound since many algorithms for suggesting informative linear combinations exist. There are, however, only few published methods that are suitable for the construction of C-cells. Here, we build a novel dimensionality reduction algorithm for learning the connectivity of C-cells, using the framework of the max-plus ("tropical") semiring.
  • Keywords
    computer vision; feature extraction; C-cells; MAX operation; S-cells; artificial complex cells; computer vision; feature-building cells; pooling cells; tropical semiring; Computational modeling; Computer science; Computer vision; Data mining; Hierarchical systems; Humans; Image sampling; Object recognition; Principal component analysis; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383338
  • Filename
    4270336