Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Tsaipei | en_US |
dc.date.accessioned | 2014-12-08T15:04:08Z | - |
dc.date.available | 2014-12-08T15:04:08Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.isbn | 978-1-4244-1818-3 | en_US |
dc.identifier.issn | 1098-7584 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/2641 | - |
dc.description.abstract | We present in this paper a new type of alternating-optimization based possibilistic c-shell algorithm for clustering template-based shapes. A cluster prototype consists of a copy of the template after translation, seating, rotation, and/or affine transformations. We use a number of two-dimensional data sets, both synthetic and from real-world images, to illustrate the capability of our algorithm in detecting generic template-based shapes in images. We also describe a progressive clustering procedure aimed to relax the requirements of known number of dusters and good initialization. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Possibilistic Clustering of Generic Shapes Derived from Templates | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | en_US |
dc.citation.spage | 1723 | en_US |
dc.citation.epage | 1730 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000262974001037 | - |
Appears in Collections: | Conferences Paper |