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使用BDA实现三维模型相关反馈的算法
注：1、使用本系统必须在本地计算机上安装matlab
2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量
3、本系统自带性能评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D
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使用KernelBDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab
2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-KernelBDA use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorit
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使用LDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D model fro
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使用BDA实现三维模型相关反馈的算法
注：算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 -use 3D model relevance feedback algorithm Note : algorithm using 3D model from the eigenvectors of the PSB model automatically from the 3D model features DESIRE to volume
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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
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The first scheme is based on the spatial locality of feature vectors corresponding
to similar images. Learning is effected by modifying the query vector to incorporate the
positive examples. The second scheme is based on “distorting” our view of
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查询行为和关联规则的相关反馈查询扩Behavior and association rule -Behavior and association rule query relevance feedback query expansion
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Summary presentation of the relevance feedback algorithms for information retrieval
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论文《A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization》的代码-the code of <A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization>
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matlab实现svm，能很好的实现相关反馈-matlab to achieve svm, relevance feedback can be good
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A Gabor-filtering method for describing textural features
is proposed, which applies the physical properties of a probability
wave to probability transformation, and computes
textural features
2) An adaptive strategy for feature and filter s
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Content based image retrieval with relevance feedback tree.
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