Learning deep representations for robotics applications

In this thesis, two hierarchical learning representations are explored in computer vision tasks. First, a novel graph theoretic method for statistical shape analysis, called Compositional Hierarchy of Parts (CHOP), was proposed. The method utilises line-based features as its building blocks for the...

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Bibliographic Details
Main Author: Aktaş, Ümit Ruşen
Published: University of Birmingham 2018
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.768307