Description: 基于神经网络短期交互式学习的图像检索程序
算法是源于一篇博士论文，也借用了别人的程序框架，在此表示感谢！-based on neural network in a short interactive learning algorithm for image retrieval procedure is derived from a doctoral dissertation, also borrowing other people's procedural framework, expressed thanks! Platform: |
Size: 177785 |
Author:刘广昭 |
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Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 160149 |
Author:耿上 |
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Description: 基于神经网络短期交互式学习的图像检索程序
算法是源于一篇博士论文，也借用了别人的程序框架，在此表示感谢！-based on neural network in a short interactive learning algorithm for image retrieval procedure is derived from a doctoral dissertation, also borrowing other people's procedural framework, expressed thanks! Platform: |
Size: 4015104 |
Author:刘广昭 |
Hits:
Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 159744 |
Author:耿上 |
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Description: 系统根据用户对检索结果的评价，动态构造神经网络，描述图像之间的相似性；图像间的这种相似性以及本次检索结果可以作为以后检索的历史信息保存在神经网络中，从而提高下一次检索的效率。实验表明，该方法嵌入到典型的图像检索系统中，改善了图像检索性能。-System based on user evaluation of search results, dynamic structural neural network, described the similarity between images this similarity between images and the search results can be used as future retrieval of information stored in the history of neural networks, thereby enhancing the under a retrieval efficiency. Experiments show that the method is embedded in a typical image retrieval system, improve the image retrieval performance. Platform: |
Size: 151552 |
Author:焦亚民 |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Search - image retrieval neural network