Introduction Two Stages of Hash Function Learning Two main categories: oCategory I: Projection Stage (Dimension Reduction) Projected with real-valued projection function o Given a point x,each projected dimension i will be associated with a real-valued projection function fi(x)(e.g.,fi(x)=wx) Quantization Stage Turn real into binary o Essential difference between metric learning and learning to hash Category Il: Binary-Code Learning Stage Hash Function Learning Stage 日卡三4元，互Q0 Li (http://cs.nju.edu.cn/lvj) Learning to Hash CS.NJU 10 /210Introduction Two Stages of Hash Function Learning Two main categories: Category I: Projection Stage (Dimension Reduction) Projected with real-valued projection function Given a point x, each projected dimension i will be associated with a real-valued projection function fi(x) (e.g., fi(x) = wT i x) Quantization Stage Turn real into binary Essential difference between metric learning and learning to hash Category II: Binary-Code Learning Stage Hash Function Learning Stage Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 10 / 210