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Structured representation learning from complex data

Nguygen, Tu Dinh 2015, Structured representation learning from complex data, Ph.D. thesis, School of Information Technology, Deakin Univeristy.

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Title Structured representation learning from complex data
Author Nguygen, Tu Dinh
Institution Deakin Univeristy
School School of Information Technology
Faculty Faculty of Science Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Date submitted 2015-04
Keyword(s) statistical machine learning
annotated labels
restricted Boltzmann machine
structured representations
Summary This thesis advances several theoretical and practical aspects of the recently introduced restricted Boltzmann machine - a powerful probabilistic and generative framework for modelling data and learning representations. The contributions of this study represent a systematic and common theme in learning structured representations from complex data.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Description of original xx, 198, [4] pages : illustrations, tables, graphs
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079713

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Fri, 20 Nov 2015, 14:33:21 EST by Prue Plummer

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.