Publication result detail

Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System

HUBEIKA, V.; SZŐKE, I.; BURGET, L.; ČERNOCKÝ, J.

Original Title

Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System

English Title

Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

The paper is on Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System.

English abstract

The paper is on Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System.

Keywords

age recognition, gender recognition

Key words in English

age recognition, gender recognition

Authors

HUBEIKA, V.; SZŐKE, I.; BURGET, L.; ČERNOCKÝ, J.

RIV year

2010

Released

01.10.2007

Publisher

Springer Verlag

Location

Pilsen

ISBN

978-3-540-74627-0

Book

Proc. 10th International Conference on Text Speech and Dialogue (TSD 2007)

Pages from

1

Pages to

6

Pages count

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2007/hubeika_tsd_2007.pdf

BibTex

@inproceedings{BUT33393,
  author="Valiantsina {Hubeika} and Igor {Szőke} and Lukáš {Burget} and Jan {Černocký}",
  title="Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System",
  booktitle="Proc. 10th International Conference on Text Speech and Dialogue (TSD 2007)",
  year="2007",
  pages="1--6",
  publisher="Springer Verlag",
  address="Pilsen",
  isbn="978-3-540-74627-0",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2007/hubeika_tsd_2007.pdf"
}