搜索资源列表
Desktop
- 哈希感知算法，谷歌以图搜图的简单实现。简单易懂，适合概念性了解的人。-Hash perception algorithm, Google to search the simple realization. Easy to understand for a conceptual understanding of the people.
graph-hashing
- 图像的谱哈希算法，输入图像，然后提取图像的gist特征，经过谱哈希算法，产生哈希序列-Spectral image hash algorithm, the input image, and then extract the image of the gist features through spectral hash algorithms produce hash sequence
Algorithm-template
- C++ 写的一些算法模板 ，比如Kruskal、KMP、欧几里德算法、最大匹配(匈牙利算法)、最小费用最大流、字符串的哈希方法、增广路算法、网络最大流_邻接表等-C++ write some algorithms template, such as Kruskal, KMP, Euclid arithmetic, maximal matching (Hungary) is proposed, the minimum cost and maximum flow, string hash metho
SimilarImageSearch
- 相似图片搜索.关键技术："感知哈希算法"（Perceptual hash algorithm），它的作用是对每张图片生成一个"指纹"（fingerprint）字符串，然后比较不同图片的指纹。结果越接近，就说明图片越相似。 -Similar image search. Key technologies: perception of the hash algorithm (the Perceptual hash algorithm), it is the role of each image t
LSH
- 原始局部敏感哈希算法的详细描述（文档），对于理解LSH算法有帮助-The detailed descr iption of the original locally sensitive hash algorithm
Image-similarity-identification
- 利用感知哈希算法将N幅图片用汉明距离表示出来进行对比，可求其相似度-Hash algorithm using the perception of N pictures that come out with a Hamming distance by comparing the similarity rectifiable
NEW-SVD-SVD-Hashing
- 图像哈希算法，SVD-SVD的编码。可供做图像hash的研究人员做对比试验-image hash SVD-SVD
Hash-data
- 数字水印，利用稀疏编码的哈希算法对图像进行处理后的数据。-watermark, the sparse coding is used to hash the image.Therefore it s very convient to retrieve.
hash
- 哈希感知算法，通过视频读入，自动检测人脸位置-Hash perception algorithm, read through the video, automatic detection of face position
lshcode
- 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):
code
- 这个是使用局部敏感哈希算法完成的人脸识别算法，使用MATLAB简单制作了界面，算法还行，界面比较丑-This is completed using locally sensitive hash algorithm face recognition algorithm using MATLAB produced a simple interface, algorithms okay, interface is ugly
lshcode
- 基于matlab实现了一个简单的局部敏感哈希算法，用于实现图像的快速检索- U57FA u4E8Ematlab u5B9E u73B0 u4E86 u4E00 u4E2A u7B80 u5355 u7684 u5C40 u90E8 u654F u611F u54C8 u5E0C u7B97 u6CD5 uFF0C u7528 u4E8E u5B9E u73B0 u56FE u50CF u7684 u5FEB u901F u68C0 u
新论文
- 多媒体检索中的线性跨模态哈希算法，旨在降低算法的复杂度，变为线性复杂度。(Linear Cross-Modal Hashing for Efficient Multimedia Search)
SMFH-master
- 用于交叉模式哈希的监督矩阵因式分解，监督学习算法中的矩阵因式分解算法，文件附带MATLAB源程序(Supervised Matrix Factorization for Cross-Modality Hashing)
lshcode.tar
- 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