Graduate Thesis Or Dissertation

 

Selection of discriminating characteristics by partial similarity for the two class recognition problem of artificial intelligence Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/zc77st808

Descriptions

Attribute NameValues
Creator
Abstract
  • I have developed what I believe to be a very general method of feature extraction. The key to the generality of the method is that we examine each individual characteristic separately with a minimum of dependence upon other characteristics. The basic idea is to discover discriminating characteristics by a linear investigation of each sample in each class of objects being examined for differences. This is facilitated by what I term "partial similarity," that is, we look at only those samples which are partially similar to a base sample with respect to previously discovered discriminating characteristics. The method was investigated by the use of a FORTRAN program using hand printed capital A's and R's as the two classes to discriminate between.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2014-01-16T15:22:30Z (GMT) No. of bitstreams: 1 DomkeDelmarE1972.pdf: 663156 bytes, checksum: a8896ae1a4174752dce3d9752e92981b (MD5)
  • description.provenance : Submitted by Lauren Kaysen (lkscannerosu@gmail.com) on 2014-01-15T22:15:20Z No. of bitstreams: 1 DomkeDelmarE1972.pdf: 663156 bytes, checksum: a8896ae1a4174752dce3d9752e92981b (MD5)
  • description.provenance : Made available in DSpace on 2014-02-03T18:05:38Z (GMT). No. of bitstreams: 1 DomkeDelmarE1972.pdf: 663156 bytes, checksum: a8896ae1a4174752dce3d9752e92981b (MD5) Previous issue date: 1971-10-28
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2014-02-03T18:05:37Z (GMT) No. of bitstreams: 1 DomkeDelmarE1972.pdf: 663156 bytes, checksum: a8896ae1a4174752dce3d9752e92981b (MD5)

Relationships

Parents:

This work has no parents.

In Collection:

Items