自由才谨慎 发表于 2025-3-21 16:06:53

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碎石头 发表于 2025-3-21 21:16:18

Kuinam J. Kim,Hyuncheol Kim,Nakhoon BaekIncludes supplementary material:

种植,培养 发表于 2025-3-22 02:05:09

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cartilage 发表于 2025-3-22 07:04:47

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监禁 发表于 2025-3-22 11:13:08

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Oafishness 发表于 2025-3-22 13:32:01

Image-Based Content Retrieval via Class-Based Histogram Comparisonss have been proposed in the past, most of them suffer from poor image representation and comparison methods, returning images that match the query image rather poorly when judged by a human. The recent rebirth of deep learning neural networks has been a boon to CBIR, producing much higher quality re

GLADE 发表于 2025-3-22 20:21:23

Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks anywhere such as workplace, home and even schools. Nevertheless, not all the web contents are appropriate for all users, especially children. An example of these contents is pornography images which should be restricted to certain age group. Besides, these images are not safe for work (NSFW) in whi

GROUP 发表于 2025-3-22 21:30:33

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柔美流畅 发表于 2025-3-23 02:53:22

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AGGER 发表于 2025-3-23 06:11:05

Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Networkognosis. In this paper, a reliable prediction system for the disease of diabetes is presented using a dropout method to address the overfitting issue. In the proposed method, deep learning neural network is employed where fully connected layers are followed by dropout layers. The proposed neural net
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查看完整版本: Titlebook: IT Convergence and Security 2017; Volume 1 Kuinam J. Kim,Hyuncheol Kim,Nakhoon Baek Conference proceedings 2018 Springer Nature Singapore P