Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification

Xiaodong Duan, Nicolai Bæk Thomsen, Zheng-Hua Tan, Børge Lindberg, Søren Holdt Jensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)
OriginalsprogEngelsk
Titel29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
ForlagIEEE
Publikationsdato2017
ISBN (Trykt)978-1-5386-3877-4
ISBN (Elektronisk)978-1-5386-3876-7
DOI
StatusUdgivet - 2017
Begivenhed29th IEEE International Conference on Tools with Artificial Intelligence -
Varighed: 6 nov. 20178 nov. 2017
Konferencens nummer: 2017

Konference

Konference29th IEEE International Conference on Tools with Artificial Intelligence
Nummer2017
Periode06/11/201708/11/2017
NavnIEEE International Conference on Tools with Artificial Intelligence (ICTAI)

Citer dette

Duan, X., Thomsen, N. B., Tan, Z-H., Lindberg, B., & Jensen, S. H. (2017). Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification. I 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 IEEE. IEEE International Conference on Tools with Artificial Intelligence (ICTAI) https://doi.org/10.1109/ICTAI.2017.00098
Duan, Xiaodong ; Thomsen, Nicolai Bæk ; Tan, Zheng-Hua ; Lindberg, Børge ; Jensen, Søren Holdt. / Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification. 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE, 2017. (IEEE International Conference on Tools with Artificial Intelligence (ICTAI)).
@inproceedings{471063f991c4427394c4d7213942171e,
title = "Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification",
author = "Xiaodong Duan and Thomsen, {Nicolai B{\ae}k} and Zheng-Hua Tan and B{\o}rge Lindberg and Jensen, {S{\o}ren Holdt}",
year = "2017",
doi = "10.1109/ICTAI.2017.00098",
language = "English",
isbn = "978-1-5386-3877-4",
series = "IEEE International Conference on Tools with Artificial Intelligence (ICTAI)",
publisher = "IEEE",
booktitle = "29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017",
address = "United States",

}

Duan, X, Thomsen, NB, Tan, Z-H, Lindberg, B & Jensen, SH 2017, Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification. i 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE, IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 06/11/2017. https://doi.org/10.1109/ICTAI.2017.00098

Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification. / Duan, Xiaodong; Thomsen, Nicolai Bæk; Tan, Zheng-Hua; Lindberg, Børge; Jensen, Søren Holdt.

29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE, 2017. (IEEE International Conference on Tools with Artificial Intelligence (ICTAI)).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification

AU - Duan, Xiaodong

AU - Thomsen, Nicolai Bæk

AU - Tan, Zheng-Hua

AU - Lindberg, Børge

AU - Jensen, Søren Holdt

PY - 2017

Y1 - 2017

UR - http://ictai2017.org/ICTAI_Program.pdf

U2 - 10.1109/ICTAI.2017.00098

DO - 10.1109/ICTAI.2017.00098

M3 - Article in proceeding

SN - 978-1-5386-3877-4

T3 - IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

BT - 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017

PB - IEEE

ER -

Duan X, Thomsen NB, Tan Z-H, Lindberg B, Jensen SH. Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification. I 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE. 2017. (IEEE International Conference on Tools with Artificial Intelligence (ICTAI)). https://doi.org/10.1109/ICTAI.2017.00098