Class-Conditional Probabilistic Principal Component Analysis: Application to Gender Recognition
This paper presents a solution to the problem of recognizing the gender of a human face from an image. We adopt a holistic approach by using the cropped and normalized texture of the face as input to a Naíve Bayes classifier. First it is introduced the Class-Conditional Probabilistic Principal Compo...
Сохранить в:
| Опубликовано в:: | Computación y Sistemas |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Instituto Politécnico Nacional
2011
|
| Предметы: | |
| Online-ссылка: | https://www.redalyc.org/articulo.oa?id=61520767005 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|