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Image Region Selection and Ensemble for Face Recognition
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由 X Geng 著作被引用 45 次 — After suitable Image regions for face recogni- tion are selected, each of these regions is used to train a classifier. Then the classifiers are combined to ...
Image Region Selection and Ensemble for Face Recognition
中国科学院计算技术研究所
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中国科学院计算技术研究所
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In this paper, a novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed. In this framework, all possible ...
Image Region Selection and Ensemble for Face Recognition
Springer
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由 X Geng 著作2006被引用 45 次 — There are two main steps in SEIR: the first step is to automatically select several regions from all possible candidates; the second step is to construct ...
Image Region Selection and Ensemble for Face Recognition
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2024年12月5日 — In this paper, a novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed.
[PDF] Image Region Selection and Ensemble for Face Recognition
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A novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed and an implementation of SEIR based on multiple ...
Image Region Selection and Ensemble for Face Recognition
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由 X Geng 著作2006被引用 45 次 — Abstract In this paper, a novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed.
Image Region Selection and Ensemble for Face Recognition
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There are two main steps in SEIR: the first step is to automatically select several regions from all possible candidates; the second step is to construct ...
Facial Image Quality Assessment using an Ensemble of ...
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由 A Abayomi-Alli 著作2020被引用 6 次 — This study presents a proposed Facial Image Quality Assessment (FIQA) model using an ensemble of pre-trained deep learning models (EFQnet).
Image Region Selection and Ensemble for Face Recognition | CoLab
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There are two main steps in SEIR: the first step is to automatically select several regions from all possible candidates; the second step is to construct ...
Image Region Selection and Ensemble for Face Recognition. ...
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Image Region Selection and Ensemble for Face Recognition.评价结果. 评估详情. 9. 影响力:4. 流行性:2. 前沿性:1. 新颖性:10. 实用性:5. 期刊影响因子指标:6 ...