An improved model for contour completion in V1 using learned feature correlation statistics | Zendy

Vladas Gintautas | Zendy; B. Kunsberg | Zendy; MoonHo Ham | Zendy; Stuart Barr | Zendy; Steven W. Zucker | Zendy; Steven P. Brumby | Zendy; Luís M. A. Bettencourt | Zendy; Garrett T. Kenyon | Zendy

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An improved model for contour completion in V1 using learned feature correlation statistics

Author(s) -

Vladas Gintautas,

B. Kunsberg,

MoonHo Ham,

Stuart Barr,

Steven W. Zucker,

Steven P. Brumby,

Luís M. A. Bettencourt,

Garrett T. Kenyon

Publication year - 2010

Publication title -

journal of vision

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.126

H-Index - 113

ISSN - 1534-7362

DOI - 10.1167/10.7.1162

Subject(s) - correlation , feature (linguistics) , statistics , computer science , pattern recognition (psychology) , artificial intelligence , mathematics , geometry , philosophy , linguistics

statistics Vadas Gintautas1,3, Shawn Barr5, Michael Ham2, Benjamin Kunsberg6, Steve Zucker6, Steven Brumby4, Craig Rasmussen5, Luis M. A. Bettencourt3 Garrett T. Kenyon3,5 1 CNLS; 2 P-21; 3 T-5; 4 ISR-2 Los Alamos National Laboratory, Los Alamos, NM 5 New Mexico Consortium, 4200 W. Jemez Rd., Los Alamos, NM 6 Center for Computational Vision and Control, Yale University, New Haven, CT vadasg@lanl.gov

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