直接上圖
腦圖源文件下載地址
http://www.shnenglu.com/Files/humanchao/LSH(Locality%20Sensitive%20Hashing).zip
參考文獻：
Website:
[1] http://people.csail.mit.edu/indyk/ （LSH原作者）
[2] http://www.mit.edu/~andoni/LSH/ (E2LSH)
Paper:
[1] Approximate nearest neighbor: towards removing the curse of dimensionality
[2] Similarity search in high dimensions via hashing
[3] Locality-sensitive hashing scheme based on p-stable distributions
[4] MultiProbe LSH Efficient Indexing for HighDimensional Similarity Search
[5] Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
Tutorial:
[1] Locality-Sensitive Hashing for Finding Nearest Neighbors
[2] Approximate Proximity Problems in High Dimensions via Locality-Sensitive Hashing
[3] Similarity Search in High Dimensions
Book:
[1] Mining of Massive Datasets
[2] Nearest Neighbor Methods in Learning and Vision: Theory and Practice
Cdoe:
[1] http://sourceforge.net/projects/lshkit/?source=directory
[2] http://tarsos.0110.be/releases/TarsosLSH/TarsosLSH-0.5/TarsosLSH-0.5-Readme.html
[3] http://www.cse.ohio-state.edu/~kulis/klsh/klsh.htm
[4] http://code.google.com/p/likelike/
[5] https://github.com/yahoo/Optimal-LSH
[6] OpenCV LSH（分別位于legacy module和flann module中）
posted on 2017-05-24 09:16
胡滿超 閱讀(1091)
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