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Thesis

Influence of the input data on learning deep representations

Abstract:

This thesis studies, through the prism of image classification, the influence of the input data on learning deep representations. Indeed, data is abundant but also multifaceted: samples might come from a single or multiple domains, or they can also be more or less labelled. We show in this thesis that methods to learn deep network representations should be designed according to the type of input data at hand.

Our work covers different training data configurations. We start with the...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

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Role:
Supervisor
Role:
Supervisor
European Research Council More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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