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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书目详细资料
主要作者: Tan, Ming Kui
其他作者: School of Computer Engineering
格式: Thesis
语言:English
出版: 2014
主题:
在线阅读:https://hdl.handle.net/10356/61881