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

• Main Author: Yang, Yongzhong
• Other Authors: Huang Guangbin
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/61449
• Institution: Nanyang Technological University

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...