Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring
dc.contributor.author | Pathirage, Chathurdara Sri Nadith | |
dc.contributor.supervisor | Assoc. Prof. Ling Li | en_US |
dc.date.accessioned | 2018-11-23T00:08:52Z | |
dc.date.available | 2018-11-23T00:08:52Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/70569 | |
dc.description.abstract |
This thesis proposes novel techniques in building a generic framework for both the regression and classification tasks in vastly different applications domains such as computer vision and civil engineering. Many frameworks have been proposed and combined into a complex deep network design to provide a complete solution to a wide variety of problems. The experiment results demonstrate significant improvements of all the proposed techniques towards accuracy and efficiency. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Computing | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |