Title:

New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications * Complex classifiers in image recognition: implementation and application

Subtitle:

Książka = Book ; KS/4/2012/P11

Creator:

Homenda, Władysław ; Lesiński, Wojciech

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2012

Description:

[5], 123-132 pages ; 21 cm ; Bibliography p. 132

Type of object:

Book/Chapter

Abstract:

In some classification tasks using a single classifier does not give satisfying results. In this situation, you can use classifiers conjunction methods to improve the results. In this paper several known methods of classifiers conjunction, and their application in pattern recognition are presented. There are shown voting methods, bagging and random forest. The work also discusses how to create vector features for these classifiers.

Relation:

Książka = Book

Resource type:

Text

Detailed Resource Type:

Book

Source:

KS-2012-04-P11

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open