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rvised learning such as the Kohonen model (also called self-organizing map (SOM)). Both types arewidely used in visual recognition before the nurture of the deep machine learning in the convolutional neural networks (CNN). Specifically, the following models will be introduced: (1) the basic neuron mexacerbate 发表于 2025-3-22 16:47:55
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Mar Eythrvised learning such as the Kohonen model (also called self-organizing map (SOM)). Both types arewidely used in visual recognition before the nurture of the deep machine learning in the convolutional neural networks (CNN). Specifically, the following models will be introduced: (1) the basic neuron m极深 发表于 2025-3-22 22:08:46
Mar Eythzy K-NN), (5) fuzzy weighted C-means (FWCM), (6) new weighted fuzzy C-means (NW-FCM), (7) possibilityclustering algorithm (PCA), (8) generalized possibility clustering algorithm (GPCA), (9) credibility clustering algorithm (CCA), and (10) support vector machine (SVM). Some algorithms utilizing optimAdditive 发表于 2025-3-23 04:00:23
Mar Eythemes frequently used in the transform for reducing thedimension of a dataset. These transformations include principle component analysis (PCA), singular value decomposition (SVD), non-negative matrix factorization (NMF), and sparse coding (SC). The study of the mammal brain suggests that only a smalDEBT 发表于 2025-3-23 06:44:55
Mar Eythnals and graduate students in computer science and electrical engineering who take an interest in image analysis and synthesis. Perhaps, mathematicians studying applications of random fields may find here some less traditional, and thus controversial, views and techniques.978-94-010-5912-1978-94-011-4461-2Series ISSN 1381-6446