Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/4547
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAzizi Abdullah-
dc.date.accessioned2016-05-24T01:14:58Z-
dc.date.available2016-05-24T01:14:58Z-
dc.date.issued2010-11-09-
dc.identifier.urihttp://hdl.handle.net/123456789/4547-
dc.description.abstractThis thesis is about machine vision in general and image recognition in particular.In image or object recognition the goal is to let a computer tell which object is displayed on a picture.en_US
dc.language.isoenen_US
dc.publisherKota Bharu: Universiteit Utrechten_US
dc.subjectQ 325.75 .A9 2010en_US
dc.subjectAzizi Abdullahen_US
dc.subjectTesis Universiteit Utrecht 2010en_US
dc.titleSupervised learning algorithms for visual object categorizationen_US
dc.typeThesisen_US
Appears in Collections:Staff Thesis

Files in This Item:
File Description SizeFormat 
tesis Q 325.75 .A9 2010 FullText.pdf
  Restricted Access		14.08 MBAdobe PDFView/Open Request a copy
Show simple item record


Items in UMT-IR are protected by copyright, with all rights reserved, unless otherwise indicated.