Towards efficient large-scale learning by exploiting sparsity

The last decade has witnessed explosive growth in data. The ultrahigh-dimensional and large volume data have brought many critical issues, such as the storage disaster, the scalability issues for data analysis, and so on. To enable efficient and effective big data analysis, this thesis exploits the...

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Bibliographic Details
Main Author: Tan, Ming Kui
Other Authors: School of Computer Engineering
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/61881