One-class classification using extreme learning machine with subspace feature mapping

One-class classification using extreme learning machine with subspace feature mapping

This final year project proposes Random Feature Subspace Ensemble based Extreme Learning Machine (RFSE-ELM) classifier to detect and segment liver tumors. The detection and segmentation of liver tumors can be formulized as novelty detection or two-class classification problem. Each voxel is characte...

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書目詳細資料
主要作者:	Yang, Yongzhong
其他作者:	Huang Guangbin
格式:	Final Year Project
語言:	English
出版:	2014
主題:	DRNTU::Engineering
在線閱讀:	http://hdl.handle.net/10356/61449
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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