| Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493123 |
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| Title: | A semi-supervised learning approach to interactive visual computing | ||||
| Author: | Guan, Jian |
ISNI:
0000 0001 3521 6432
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| Awarding Body: | University of Nottingham | ||||
| Current Institution: | University of Nottingham | ||||
| Date of Award: | 2008 | ||||
| Availability of Full Text: |
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| Abstract: | |||||
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In many computer vision and computer graphics applications, it is often very difficult or maybe even impossible to develop fully automatic solutions. On the other hand, human has remarkable abilities in distinguishing different image regions and separating different classes of objects. Moreover, users may have different intentions in different application scenarios.
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| Supervisor: | Not available | Sponsor: | Not available | ||
| Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
| EThOS ID: | uk.bl.ethos.493123 | DOI: | Not available | ||
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