Larger feature alphabets can improve object recognition even with simpler visual words

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

Standard

Larger feature alphabets can improve object recognition even with simpler visual words. / Lillholm, Martin; Griffin, L.

I: Perception, Bind 37, Nr. Supplement, 2008, s. 33-33.

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

Harvard

Lillholm, M & Griffin, L 2008, 'Larger feature alphabets can improve object recognition even with simpler visual words', Perception, bind 37, nr. Supplement, s. 33-33. https://doi.org/10.1177/03010066080370S101

APA

Lillholm, M., & Griffin, L. (2008). Larger feature alphabets can improve object recognition even with simpler visual words. Perception, 37(Supplement), 33-33. https://doi.org/10.1177/03010066080370S101

Vancouver

Lillholm M, Griffin L. Larger feature alphabets can improve object recognition even with simpler visual words. Perception. 2008;37(Supplement):33-33. https://doi.org/10.1177/03010066080370S101

Author

Lillholm, Martin ; Griffin, L. / Larger feature alphabets can improve object recognition even with simpler visual words. I: Perception. 2008 ; Bind 37, Nr. Supplement. s. 33-33.

Bibtex

@article{609a32eb2bf04e18977fc74dc4da4e85,
title = "Larger feature alphabets can improve object recognition even with simpler visual words",
author = "Martin Lillholm and L. Griffin",
year = "2008",
doi = "10.1177/03010066080370S101",
language = "English",
volume = "37",
pages = "33--33",
journal = "Perception",
issn = "0301-0066",
publisher = "SAGE Publications",
number = "Supplement",
note = "null ; Conference date: 24-08-2008 Through 28-08-2008",

}

RIS

TY - ABST

T1 - Larger feature alphabets can improve object recognition even with simpler visual words

AU - Lillholm, Martin

AU - Griffin, L.

N1 - Conference code: 31

PY - 2008

Y1 - 2008

U2 - 10.1177/03010066080370S101

DO - 10.1177/03010066080370S101

M3 - Conference abstract in journal

VL - 37

SP - 33

EP - 33

JO - Perception

JF - Perception

SN - 0301-0066

IS - Supplement

Y2 - 24 August 2008 through 28 August 2008

ER -

ID: 168783255