Introduction Existing Methods Our Contribution o Unsupervised Hashing (1)Isotropic hashing [NIPS 2012] (2)Scalable graph hashing with feature transformation [IJCAI 2015] Supervised Hashing [SIGIR 2014]: Supervised hashing with latent factor models Multimodal Hashing [AAAI 2014]: Large-scale supervised multimodal hashing with semantic correlation maximization Multiple-Bit Quantization: (1)Double-bit quantization [AAAI 2012] (2)Manhattan quantization [SIGIR 2012] 。《大数据哈希学习：现状与趋势》[《科学通报》，2015] Li (http://cs.nju.edu.cn/lwj) Learning to Hash LAMDA,CS.NJU 17/43Introduction Existing Methods Our Contribution Unsupervised Hashing : (1) Isotropic hashing [NIPS 2012] (2) Scalable graph hashing with feature transformation [IJCAI 2015] Supervised Hashing [SIGIR 2014]: Supervised hashing with latent factor models Multimodal Hashing [AAAI 2014]: Large-scale supervised multimodal hashing with semantic correlation maximization Multiple-Bit Quantization: (1) Double-bit quantization [AAAI 2012] (2) Manhattan quantization [SIGIR 2012] 5åÍ‚MFÆSµyGÜ™³6[5âÆœ6,2015] Li (http://cs.nju.edu.cn/lwj) Learning to Hash LAMDA, CS, NJU 17 / 43