An improved product quantization method applying fuzzy clustering
Author:
Affiliation:
1. School of Artificial Intelligence, Jianghan University,Hubei,China
2. CSSC(Wuhan) LINGJIU HI-TECH CO.,LTD.,Hubei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929903.pdf?arnumber=9929903
Reference6 articles.
1. Optimiazed High Order Product Quantization for Approximate Nearest Neighbors Search[J];li;Front Comput Sci China,2020
2. Generslized Product Quantization NetworK for Semi-Supervised Image Retrieval[C];jang;2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition,0
3. Application of fuzzy ISODATA algorithms star tracker printing systems[J];gunderson;Triennial World congress IFAC,1978
4. Pattern Recognition with Fuzzy Objective Function Algorithms
5. Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors[J];jafari;Lecture Notes in Computer Science,2020
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