TY - GEN
T1 - Knowledge based cluster ensemble for 3D head model classification
AU - Yu, Zhiwen
AU - Wong, Hau-San
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77957932326&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77957932326&origin=recordpage
U2 - 10.1109/ICPR.2008.4761063
DO - 10.1109/ICPR.2008.4761063
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424421756
BT - Proceedings - International Conference on Pattern Recognition
T2 - 2008 19th International Conference on Pattern Recognition, ICPR 2008
Y2 - 8 December 2008 through 11 December 2008
ER -