Search - feedback retrieval

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[Develop Tools] 图象检索与分析(相关反馈机制与趋势) DL : 1: 一个图象检索与分析(相关反馈机制与趋势)ppt，希望对各位有帮助！-an Image Retrieval and Analysis (feedback mechanisms associated with the trend) ppt, and I hope to help you!
Update : 2008-10-13 Size : 3.51mb Publisher : 阿哥
[File Operate] jiyuneirongdetuxiangjiansuo DL : 0: 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
Update : 2008-10-13 Size : 156.4kb Publisher : 耿上
[Special Effects] image22retrieval DL : 0: 一种特征库可更新的相关反馈图像检索方法，写的比较详细做图像检索反馈时可以参考-a feature library can be updated relevance feedback image retrieval methods, write more detailed feedback so images can be indexed reference
Update : 2008-10-13 Size : 313.25kb Publisher : 亮亮
[Graph program] svmabcde DL : 0: 一种基于svm相关反馈的图象检索算法-svm based relevance feedback algorithm for image retrieval
Update : 2008-10-13 Size : 558.8kb Publisher : jys
[Special Effects] RF_positive_q DL : 1: 一个基于内容的图像检索程序，用于相关反馈检索，采用自己研制（已发表）的查询点学习算法。-a content-based image retrieval procedure for relevance feedback retrieval, own research (published) inquiries point learning algorithm.
Update : 2008-10-13 Size : 2.76kb Publisher : 曹魁
[Graph program] svmabcde DL : 0: 一种基于svm相关反馈的图象检索算法-svm based relevance feedback algorithm for image retrieval
Update : 2025-02-17 Size : 559kb Publisher : jys
[Special Effects] RF_positive_q DL : 0: 一个基于内容的图像检索程序，用于相关反馈检索，采用自己研制（已发表）的查询点学习算法。-a content-based image retrieval procedure for relevance feedback retrieval, own research (published) inquiries point learning algorithm.
Update : 2025-02-17 Size : 2kb Publisher : 曹魁
[GDI-Bitmap] work DL : 0: 图像检索中用于相关反馈的MATLAB程序供大家参考（注：在MATLAB7.0中使用）-Image Retrieval Relevance Feedback for the MATLAB program for your reference (Note: the use of MATLAB7.0)
Update : 2025-02-17 Size : 47kb Publisher : kitty
[Special Effects] image4 DL : 0: 图像检索中一种有效的SVM相关反馈算法.强烈推荐-Image Retrieval in an effective relevance feedback algorithm SVM. Strongly recommended
Update : 2025-02-17 Size : 366kb Publisher : sss
[Linux-Unix] gift-0.1.14.tar DL : 0: The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve query results by relevance feedback. For processing your queries the program relies entirely on the content of the images, freeing you from the need to annotate all images before querying the collection.
Update : 2025-02-17 Size : 775kb Publisher : yudaxia
[Special Effects] dgdgdgdgdgfdgdfgrelevance DL : 0: 基于支持向量机的相关反馈图像检索算法相关反馈技术是近年来在图像检索中较为重要的研究方法, 从机器学习的角度, 以支持向量机(SVM ) 为分类器, 提出了一种新的相关反馈方法-Support vector mach ine based relevance feedback algorithm in image retrieval
Update : 2025-02-17 Size : 187kb Publisher : 张三风
[File Format] CBIR DL : 0: Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based image retrieval,Analysis of Relevance Feedback in Content Based Image Retrieval, Performance Evaluation in Content-Based Image Retrieval: Overview and Proposals, COMPARISON OF TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL
Update : 2025-02-17 Size : 3.3mb Publisher : sunda
[Mathimatics-Numerical algorithms] CBIR_Relevance DL : 0: 该代码为基于内容的图像检索系统CBIR中相关反馈的代码，相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
Update : 2025-02-17 Size : 11kb Publisher : vivi
[Special Effects] CBIR-FOR-ENDOSCOPIC-IMAGES DL : 0: Content-based medical image retrieval is now getting more and more attention in the world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently required. Methods: Based on the study of single feature image retrieving techniques, including color clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set up to evaluate the proposed method’s performance and some evaluating parameters such as the retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc. are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback gets more accurate and quicker retrieving capability than the one with single feature image retrieving technique due to its flexible feature combination and interactive relevance feedback.
Update : 2025-02-17 Size : 351kb Publisher : gokul/goks
[Mathimatics-Numerical algorithms] Relevance-Feedback DL : 0: Summary presentation of the relevance feedback algorithms for information retrieval
Update : 2025-02-17 Size : 1.43mb Publisher : Annette
[Other] matlab-code-based-image-retrieval DL : 0: 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
Update : 2025-02-17 Size : 161kb Publisher : EmilyFu
[Other] The-X-ray-Chest-Image-Retrieval-Based-on-Feature- DL : 0: Based on the analysis of methods of CBIR and chest image characteristic, in this paper, color correlogam, dominant color of partition, gray level co-occurrence matrix, gray-gradient co-occurrence matrix and shape invariant moments were extracted as retrieval feature. After comparison of their retrievals, feature fusion and relevance feedback is proposed. Experiments proved that the combining color, texture with shape feature gets effective retrieval and relevance feedback further more improves retrie
Update : 2025-02-17 Size : 879kb Publisher : Salkoum
[Special Effects] my-Image-Retrieval-System DL : 0: 本软件的开发是为实现——用户上传一张图片后，从已有的数据库里查找出相似的图片反馈给用户-The software was developed to achieve- the user to upload a picture, from the existing database to find out similar images feedback to the use
Update : 2025-02-17 Size : 1.74mb Publisher : 烟花
[Industry research] Relevance-Feedback- DL : 0: 图像检索相关反馈方面牛人的文章。很有参考价值。-The paper about the relevance feedback of Image retrieval . it is very useful.
Update : 2025-02-17 Size : 361kb Publisher : duyaqin
[SQL Server] Image-retrieval-system DL : 0: 本软件的开发是为实现用户上传一张图片后，从已有的数据库里查找出相似的图片反馈-The software development is to achieve the user upload a picture, the existing to find out the similar picture feedback
Update : 2025-02-17 Size : 2.05mb Publisher : yux

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