Thesis
Large-scale learning of discriminative image representations
- Abstract:
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This thesis addresses the problem of designing discriminative image representations for a variety of computer vision tasks. Our approach is to employ large-scale machine learning to obtain novel representations and improve the existing ones. This allows us to propose descriptors for a variety of applications, such as local feature matching, image retrieval, image classification, and face verification. Our image and region descriptors are discriminative, compact, and achieve state-of-t...
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Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
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uuid:3633f284-0588-4a11-b15b-1520f6a8262a
- Deposit date:
- 2018-05-25
Terms of use
- Copyright holder:
- Simonyan, K; Karen Simonyan.
- Copyright date:
- 2013
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