Knowledge based cluster ensemble for 3D head model classification

Zhiwen Yu, Hau-San Wong

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

Recently, researchers are paying more attention to 3D model classification due to its useful applications in multimedia, computer graphics, and so on. Although there exist a number of approaches to classify 3D models, few of them consider the prior knowledge during the process of 3D model classification. In this paper, we propose a new framework called knowledge based cluster ensemble which incorporates the prior knowledge of the dataset into the cluster ensemble framework to classify 3D models. The experiments show that knowledge based cluster ensemble framework works well on 3D human head model database. © 2008 IEEE.
Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
DOIs
Publication statusPublished - 2008
Event2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
Duration: 8 Dec 200811 Dec 2008

Publication series

Name
ISSN (Print)1051-4651

Conference

Conference2008 19th International Conference on Pattern Recognition, ICPR 2008
PlaceUnited States
CityTampa, FL
Period8/12/0811/12/08

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