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Nearest Neighbor Methods in Learning and Vision: Theory and Practice书中章节Locality-Sensitive Hashing Scheme Based on p-Stable Distributions 中LSH-Local Sensitive Hashing算法的C语言在Red Linux下实现,Book <Nearest Neighbor Methods in Learning and Vision: Theory
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LSH代码，locality-sensitive hashing（局部敏感哈希），实现高位数据搜索平台，具有快速简便的优点-LSH Code, locality-sensitive hashing (local sensitive hash), to achieve high data search platform, has the advantages of quick and easy
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locality-sensitive hashing（局部敏感哈希），实现高位数据搜索平台，具有快速简便的优点。解压无密码-locality-sensitive hashing , to achieve high data search platform with the advantages of quick and easy. No password extract
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Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值-Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of
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Locality Sensitive Discriminant Analysis
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Locality Sensitive Hashing
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Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究-Visual Tracking via Locality Sensitive Histograms
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特征提取基于改进的局部敏感判别分析--克服了原始算法的存在的局外点问题。An improved locality sensitive discriminant analysis approach for feature extraction-An improved locality sensitive discriminant analysis approach for feature extraction
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局部敏感直方图特征算法matlab实现，可以应用在可视化目标追踪文本特征提取中，代码通过测试，可以直接使用-Visual Tracking via Locality Sensitive Histograms, which can be used in Computer Vision and Pattern Recognition
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LSH哈希算法matlab版。内有详细说明和流程步骤，还有小demo-This directory contains an simple implementation of Locality-Sensitive
Hashing (LSH) algorithm by Indyk et al. The main functions are (see
documentation in each file for more details):
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ISH局部加密，局部敏感哈希算法，局部敏感哈希是非监督的哈希算法。
算法的输入是实数域的特征向量，输出为一个binary vector。(This directory contains an simple implementation of Locality-Sensitive
Hashing (LSH) algorithm by Indyk et al. The main functions are (see
documentation in each file for more de
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Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该压缩文件包括图片的代码，只要运行demo即可。改代码对灰度值有点差异的图片得到的效果还好。得到的结果为图片的直方图特征图。亲测可用。(Locality Sensitive Histograms. consisted of code and images.)
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在数据处理过程中，使用局部敏感哈希对数据降维(Using local sensitive hash to reduce the dimension of data)
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