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Image Recognition Using Machine Learning by dee637631 is a document available to read on EtoBox.
The paper discusses the use of three machine learning techniques—Linear Discriminant Analysis (LDA), Fuzzy Inference System (FIS), and Fuzzy c-mean clustering (FCM)—for image recognition, particularly focusing on object and human face recognition. It highlights the combination of these methods with multiple linear regression (MLR) to improve accuracy and reduce processing time compared to deep learning approaches. The authors find that while individual methods excel in specific scenarios, their combined app
- Author
- dee637631
- Language
- EN