基于哈希的图像检索（LSH，ITQ）matlab代码

[{"title":"（36个子文件1.3MB）基于哈希的图像检索（LSH，ITQ）matlab代码","children":[{"title":"myprojects","children":[{"title":"demo2_gist_visualization.m <span style='color:#111;'>1.33KB</span>","children":null,"spread":false},{"title":"使用说明.txt <span style='color:#111;'>81B</span>","children":null,"spread":false},{"title":"demo5_img_generation.m <span style='color:#111;'>2.79KB</span>","children":null,"spread":false},{"title":"demo7_ITQ_retrieval.m <span style='color:#111;'>2.55KB</span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"old","children":[{"title":"cifar-10-batches-mat","children":null,"spread":false}],"spread":true},{"title":"new","children":null,"spread":false}],"spread":true},{"title":"tools","children":[{"title":"utils","children":[{"title":"recall_precision.m <span style='color:#111;'>2.36KB</span>","children":null,"spread":false},{"title":"simMat_sparse.m <span style='color:#111;'>166B</span>","children":null,"spread":false},{"title":"simMat.m <span style='color:#111;'>320B</span>","children":null,"spread":false},{"title":"eva_lookup.m <span style='color:#111;'>1.42KB</span>","children":null,"spread":false},{"title":"eva_lookup1.m <span style='color:#111;'>944B</span>","children":null,"spread":false},{"title":"hammingDist_sparse.m <span style='color:#111;'>1.01KB</span>","children":null,"spread":false},{"title":"hammingDist.m <span style='color:#111;'>1.47KB</span>","children":null,"spread":false},{"title":"distMat.m <span style='color:#111;'>474B</span>","children":null,"spread":false},{"title":"eva_ranking1.m <span style='color:#111;'>773B</span>","children":null,"spread":false},{"title":"eva_ranking.m <span style='color:#111;'>1.57KB</span>","children":null,"spread":false},{"title":"gendata.m <span style='color:#111;'>1.54KB</span>","children":null,"spread":false},{"title":"extractbit.m <span style='color:#111;'>224B</span>","children":null,"spread":false},{"title":"compactbit.m <span style='color:#111;'>293B</span>","children":null,"spread":false}],"spread":false},{"title":"gist","children":[{"title":"showGist.m <span style='color:#111;'>1.91KB</span>","children":null,"spread":false},{"title":"test2.jpg <span style='color:#111;'>239.28KB</span>","children":null,"spread":false},{"title":"LMgist.m <span style='color:#111;'>8.05KB</span>","children":null,"spread":false},{"title":"test1.jpg <span style='color:#111;'>30.64KB</span>","children":null,"spread":false},{"title":"imresizecrop.m <span style='color:#111;'>522B</span>","children":null,"spread":false},{"title":"test3.jpg <span style='color:#111;'>1004.42KB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"demo3_gist_extraction.m <span style='color:#111;'>2.24KB</span>","children":null,"spread":false},{"title":"demo6_LSH_retrieval.m <span style='color:#111;'>2.86KB</span>","children":null,"spread":false},{"title":"使用说明.png <span style='color:#111;'>39.36KB</span>","children":null,"spread":false},{"title":"demo1_data_visualization.m <span style='color:#111;'>4.05KB</span>","children":null,"spread":false},{"title":"methods","children":[{"title":"LSH","children":[{"title":"compressLSH.m <span style='color:#111;'>304B</span>","children":null,"spread":false},{"title":"processRange.m <span style='color:#111;'>1.01KB</span>","children":null,"spread":false},{"title":"evaluate_LSH.m <span style='color:#111;'>2.40KB</span>","children":null,"spread":false},{"title":"lshfunc.m <span style='color:#111;'>3.20KB</span>","children":null,"spread":false}],"spread":true},{"title":"ITQ","children":[{"title":"compressITQ.m <span style='color:#111;'>638B</span>","children":null,"spread":false},{"title":"evaluate_ITQ.m <span style='color:#111;'>2.16KB</span>","children":null,"spread":false},{"title":"trainITQ.m <span style='color:#111;'>302B</span>","children":null,"spread":false},{"title":"ITQ.m <span style='color:#111;'>1.03KB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"demo4_data_process.m <span style='color:#111;'>2.27KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]