標題: A machine learning approach for acquiring descriptive classification rules of shape contours
作者: Hsu, JC
Hwang, SY
資訊工程學系
Department of Computer Science
關鍵字: shape representation;classification;machine learning;FOIL;inductive logic programming
公開日期: 1-二月-1997
摘要: 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.
URI: http://hdl.handle.net/11536/743
ISSN: 0031-3203
期刊: PATTERN RECOGNITION
Volume: 30
Issue: 2
起始頁: 245
結束頁: 252
顯示於類別:期刊論文


文件中的檔案:

  1. A1997WR18900006.pdf