Learning to Hash for Big Data:A Tutorial 李武军 LAMDA Group 南京大学计算机科学与技术系 软件新技术国家重，点实验室 Nov29,2015 日卡*2元至Q0 Li (http://cs.nju.edu.cn/lvj) Learning to Hash CS.NJU 1/210
Learning to Hash for Big Data: A Tutorial o… LAMDA Group HÆåÆOéÅâÆÜE‚X ^á#E‚I[:¢ø Nov 29, 2015 Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 1 / 210
Outline Introduction ② Unsupervised Hashing Supervised Hashing Ranking-based Hashing Multimodal Hashing 6 Deep Hashing Quantization Conclusion ⑨ Reference 日卡回24元，互Q0 Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS.NJU 2 /210
Outline 1 Introduction 2 Unsupervised Hashing 3 Supervised Hashing 4 Ranking-based Hashing 5 Multimodal Hashing 6 Deep Hashing 7 Quantization 8 Conclusion 9 Reference Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 2 / 210
Introduction Outline Introduction Unsupervised Hashing Supervised Hashing Ranking-based Hashing Multimodal Hashing Deep Hashing Quantization Conclusion Reference 日卡三4元，互Q0 Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS.NJU 3/210
Introduction Outline 1 Introduction 2 Unsupervised Hashing 3 Supervised Hashing 4 Ranking-based Hashing 5 Multimodal Hashing 6 Deep Hashing 7 Quantization 8 Conclusion 9 Reference Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 3 / 210
Introduction Nearest Neighbor Search (Retrieval) Given a query point g,return the points closest(similar)to g in the database (e.g.,image database). oUnderlying many machine learning,data mining,information retrieval problems. 口卡+得，二4元互)Q0 Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS.NJU 4 /210
Introduction Nearest Neighbor Search (Retrieval) Given a query point q, return the points closest (similar) to q in the database (e.g., image database). Underlying many machine learning, data mining, information retrieval problems. Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 4 / 210
Introduction Big Data Big data has attracted much attention from both academia and industry. Facebook:750 million users Flickr:6 billion photos Wal-Mart:267 million items/day;4PB data warehouse oSloan Digital Sky Survey:New Mexico telescope captures 200 GB image data/day Science FOURTH PARADIGM data Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS.NJU 5 /210
Introduction Big Data Big data has attracted much attention from both academia and industry. Facebook: 750 million users Flickr: 6 billion photos Wal-Mart: 267 million items/day; 4PB data warehouse Sloan Digital Sky Survey: New Mexico telescope captures 200 GB image data/day Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 5 / 210