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Updated: Feb 14, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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移転学習ベースの民族認識は,さまざまなイメージングセンサを通してキャプチャされた任意の画像を使用します.

Hasti Soudbakhsh1, Sonjoy Ranjon Das2, Bilal Hassan1

  • 1Faculty of Engineering & Environment, Northumbria University London Campus, 110 Middlesex Street, London E1 7HT, UK.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究は,移転学習と最適化されたコンボリューションニューラルネットワーク (CNN) モデルを使用して民族性の認識を強化します. VGG19モデルは87%の精度を達成し,多様な民族の間で強力な顔認識を証明しました.

キーワード:
UTKFace データセットコンボリューションニューラルネットワークディープラーニングとは,ディープラーニングです.民族の認識 民族の認識顔画像の分類 顔画像の分類汎用化 汎用化ハイパーパラメータチューニング画像の前処理 画像の前処理イメージングセンサのセンサーです.移転学習は学習の移転である.

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