# Derin Öğrenme ve Destek Vektör Makineleri İle Görüntüden Cinsiyet Tahmini

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/derin-ogrenme-ve-destek-vektor-makineleri-ile-goruntuden-cinsiyet-tahmini/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sedat Metlek,Kıyas Kayaalp |
| Citations | 15 |
| DOI | 10.29130/dubited.707316 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.29130/dubited.707316 |
| OpenAlex ID | https://openalex.org/W3082863887 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sedat Metlek](https://scholariq.org/researchers/sedat-metlek/)

## Paper journal

- [Düzce Üniversitesi Bilim ve Teknoloji Dergisi](https://scholariq.org/journals/duzce-universitesi-bilim-ve-teknoloji-dergisi/)

## Paper primary topic

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)

## Paper topics

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.