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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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/61449 |
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| Institution: | Nanyang Technological University |
| Language: | English |