Class binarization with self-adaptive algorithm to improve human activity recognition /
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| Autor Principal: | |
|---|---|
| Formato: | Thesis Software eBook |
| Idioma: | English |
| Publicado: |
2018.
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| Subjects: | |
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| 100 | 0 | |a Muhammad Noorazlan Shah Zainudin, |e author. |9 93995 | |
| 245 | 1 | 0 | |a Class binarization with self-adaptive algorithm to improve human activity recognition / |c Muhammad Noorazlan Shah Zainudin. |
| 264 | 1 | |c 2018. | |
| 300 | |a xviii, 150 pages : |b colour illustrations, charts, photographs ; |c 26 cm + |e 1 computer disc (12 cm) | ||
| 336 | |a text |2 rdacontent | ||
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| 500 | |a Accompanied by CD : CDR 17859. | ||
| 502 | |c Universiti Putra Malaysia |d 2017 | ||
| 504 | |a Reference : pages 120-138. | ||
| 650 | 0 | |a Human activity recognition. |9 7317 | |
| 710 | 2 | |a Universiti Putra Malaysia, |e issuing body. |9 113746 | |
| 790 | |a Faculty of Computer Science and Information Technology | ||
| 791 | |a Doctor of Philosophy in Computer Science and Information Technology | ||
| 792 | |a 2017 | ||
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