A novel parallel feature extraction method using HGAPSO and GLCO based SFTA
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
| Autori principali: | , , , |
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| Altri autori: | |
| Natura: | Tesi |
| Lingua: | English |
| Pubblicazione: |
BRAC University
2016
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| Soggetti: | |
| Accesso online: | http://hdl.handle.net/10361/5308 |
| Riassunto: | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
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