Publication 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

conference paper

Language

en

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

RIV year

2007

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

Documents

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",
  annote="The paper is on Maximum Likelihood and Maximum Mutual Information Training in
Gender and Age Recognition System.",
  address="Springer Verlag",
  booktitle="Proc. 10th International Conference on Text Speech and Dialogue (TSD 2007)",
  chapter="33393",
  howpublished="print",
  institution="Springer Verlag",
  journal="Lecture Notes in Computer Science (IF 0,513)",
  year="2007",
  month="october",
  pages="1--6",
  publisher="Springer Verlag",
  type="conference paper"
}