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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Azizi Abdullah | - |
dc.date.accessioned | 2016-05-24T01:14:58Z | - |
dc.date.available | 2016-05-24T01:14:58Z | - |
dc.date.issued | 2010-11-09 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/4547 | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Kota Bharu: Universiteit Utrecht | en_US |
dc.subject | Q 325.75 .A9 2010 | en_US |
dc.subject | Azizi Abdullah | en_US |
dc.subject | Tesis Universiteit Utrecht 2010 | en_US |
dc.title | Supervised learning algorithms for visual object categorization | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Staff Thesis |
Files in This Item:
File | Description | Size | Format | |
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tesis Q 325.75 .A9 2010 FullText.pdf Restricted Access | 14.08 MB | Adobe PDF | View/Open Request a copy |
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