Data and feature mixed ensemble based extreme learning machine for medical object detection and segmentation
Extreme learning machine (ELM) is a single-hidden layer feed-forward neural network with an efficient learning algorithm. Conventionally an ELM is trained using all the data based on the least square solution, and thus it may suffer from overfitting. In this final year project paper, we present a ne...
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| Aineistotyyppi: | Final Year Project (FYP) |
| Kieli: | English |
| Julkaistu: |
2015
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| Aiheet: | |
| Linkit: | http://hdl.handle.net/10356/63600 |