Show simple item record

dc.contributor.authorLi, Q.
dc.contributor.authorRen, Y.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorLi, Ling
dc.date.accessioned2017-01-30T13:38:35Z
dc.date.available2017-01-30T13:38:35Z
dc.date.created2016-06-05T19:31:20Z
dc.date.issued2016
dc.identifier.citationLi, Q. and Ren, Y. and Liu, W. and Li, L. 2016. Semantic facial description via axiomatic Fuzzy Set based clustering, in 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Aug 15-17 2015, pp. 755-762. Zhangjiajie, China: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/33673
dc.identifier.doi10.1109/FSKD.2015.7382037
dc.description.abstract

In this paper, we developed a new method to extract semantic face descriptions by using an Axiomatic Fuzzy Set (AFS)-based clustering approach. First we used the landmark-based geometry features to represent facial components, and then developed a new feature selection algorithm to select some salient features based on dissimilarity defined in AFS. Finally, the AFS-based clustering technique was used to extract the high-level semantic concepts. Extensive experiments showed that the proposed method can achieve much better results than the conventional clustering approaches like K-means and Fuzzy c-means clustering (FCM).

dc.titleSemantic facial description via axiomatic Fuzzy Set based clustering
dc.typeConference Paper
dcterms.source.startPage755
dcterms.source.endPage762
dcterms.source.title2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
dcterms.source.series2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
dcterms.source.isbn9781467376822
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record