完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hsu, JC | en_US |
dc.contributor.author | Hwang, SY | en_US |
dc.date.accessioned | 2014-12-08T15:02:01Z | - |
dc.date.available | 2014-12-08T15:02:01Z | - |
dc.date.issued | 1997-02-01 | en_US |
dc.identifier.issn | 0031-3203 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/743 | - |
dc.description.abstract | We devise a method to generate descriptive classification rules of shape contours by using inductive learning. The classification rules are represented in the form of logic programs. We first transform input objects from pixel representation into predicate representation. The transformation consists of preprocessing, feature extraction and symbolic transformation. We then use FOIL which is an indictive logic programming system to produce classification rules. Experiments on two sets of data were performed to justify our proposed method. Copyright (C) 1997 pattern Recognition Society. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | shape representation | en_US |
dc.subject | classification | en_US |
dc.subject | machine learning | en_US |
dc.subject | FOIL | en_US |
dc.subject | inductive logic programming | en_US |
dc.title | A machine learning approach for acquiring descriptive classification rules of shape contours | en_US |
dc.type | Article | en_US |
dc.identifier.journal | PATTERN RECOGNITION | en_US |
dc.citation.volume | 30 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | 245 | en_US |
dc.citation.epage | 252 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
顯示於類別: | 期刊論文 |