Structured sparse representations for supervised and unsupervised learning

Many problems in machine learning (ML) and computer vision (CV) deal with large amounts of data with variations and noise for underlying tasks. For example, object detection requires filtering semantic objects from noisy and varying backgrounds, and the ImageNet challenge requires to build a classif...

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Bibliographic Details
Main Author: Zeng, Yijie
Other Authors: Huang Guangbin
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143420
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Institution: Nanyang Technological University
Language: English

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