Integration of Manifold Learning and Density Estimation for Fine-Tuned Face Recognition

With the rapid advancements in data analysis and the increasing complexity of high-dimensional datasets, traditional dimensionality reduction techniques like Local Linear Embedding (LLE) often face challenges in maintaining accuracy and efficiency. This research aims to overcome the limitations of L...

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Bibliographic Details
Published in:	Symmetry (Basel) Vol. 16; no. 6; p. 765
Main Authors:	Ge, Huilin, Zhu, Zhiyu, Ouyang, Jiali, Ashraf, Muhammad Awais, Qiu, Zhiwen, Ibrahim, Umar Muhammad
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2024
Subjects:	Accuracy Adaptability Algorithms Analysis Biometry Classification Computer services industry Data analysis Data compression Data processing Decision trees Density Efficiency Face recognition Feature selection Information management Machine learning Manifolds (mathematics) Methods Neighborhoods Pattern recognition Principal components analysis Sample size Specific gravity Support vector machines Task complexity Italy
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
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