Construction of all non-reducible descriptors

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摘要

We present a computational procedure based on a decision-tree model for the identification and construction of all non-reducible descriptors in a supervised pattern recognition problem in which pattern descriptions consist of Boolean features. We illustrate the use of the procedure through its application to the standard problem of recognizing Arabic numerals. We also present an analysis of the computational complexity of the procedure.

论文关键词:Supervised pattern recognition,Training table,Binary features,Non-reducible descriptors,Decision-tree model,Complexity,NP-complete

论文评审过程:Received 19 December 2002, Revised 23 March 2004, Accepted 23 March 2004, Available online 20 May 2004.

论文官网地址:https://doi.org/10.1016/j.patcog.2004.03.007