Human Face Recognition Using Third-Order Synthetic Neural Networks pdf epub mobi txt 電子書 下載2025
- 人臉識彆
- 神經網絡
- 深度學習
- 模式識彆
- 圖像處理
- 機器學習
- 閤成神經網絡
- 第三階張量
- 計算機視覺
- 人工智能
具體描述
Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.
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