#Hash

Repository for Locality Sensitive Hash.

Getting Start

This repository contains the code for experiments in the following papers.

Yeqing Li, Wei Liu, and Junzhou Huang, “Sub-Selective Quantization for Learning Binary Code in Large-Scale Image Search”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Change directory to data and use the get_data.sh to download the data.

cd data
sh get_data.sh

Use following scripts to run the experiments.

• Main_MNIST.m reproduces the results on MNIST dataset.
• Main_CIFAR.m reproduces the results on CIFAR dataset.
• Main_TINY1M.m reproduces the results on Tiny1M dataset (weakly label).

The "Main_Show.m" is used to display the stored results.

Datasets

• MNIST (mnist_split.mat)
• CIFAR (cifar_split.m)
• Tiny1M (eightyMsubset_hash_final.mat, eightyMsubset_gnd.mat)

##Bibtex

@ARTICLE{7936671, author={Y. {Li} and W. {Liu} and J. {Huang}}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search}, year={2018}, volume={40}, number={6}, pages={1526-1532}, doi={10.1109/TPAMI.2017.2710186}}