Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text)
Migration record. Kindly check the attachment for the abstract
| フォーマット: | 学位論文 |
|---|---|
| 出版事項: |
2025
|
| 主題: | |
| オンライン･アクセス: | https://utmik.utm.my/handle/123456789/175472 |
| Abstract | Abstract here |
| _version_ | 1854975152776806400 |
|---|---|
| description | Migration record. Kindly check the attachment for the abstract |
| format | Thesis |
| id | utm-123456789-175472 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2025 |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-1754722025-08-11T18:21:30Z Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) adaboost training Migration record. Kindly check the attachment for the abstract Rodzuan Mohd Yusoff Migration record. Kindly check the attachment for the conferment. 2025-08-11T03:54:04Z 2025-08-11T03:54:04Z 2008-08-15 Thesis https://utmik.utm.my/handle/123456789/175472 vital:62246 50549 application/pdf |
| spellingShingle | adaboost training Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| thesis_level | Other |
| title | Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| title_full | Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| title_fullStr | Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| title_full_unstemmed | Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| title_short | Enhanced feature selections of adaboost training for face detection using genetic algorithm (Full text) |
| title_sort | enhanced feature selections of adaboost training for face detection using genetic algorithm full text |
| topic | adaboost training |
| url | https://utmik.utm.my/handle/123456789/175472 |