Title :
Artificial Complex Cells via the Tropical Semiring
Author :
Wolf, Lior ; Guttmann, Moshe
Author_Institution :
Tel Aviv Univ., Tel Aviv
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2007.383338