Self-paced regularization in label distribution learning

Label Distribution Learning is a learning paradigm which outputs a representation of how much each label describes the instance. Research into the paradigm involved machine learning algorithms but did not include deep learning as a possible alternative. Deep learning, a sub-discipline of machine lea...

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Bibliographic Details
Main Author: Koh, Terence Kang Wei
Other Authors: Bo An
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76943
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Institution: Nanyang Technological University
Language: English
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