℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning.

Ping Li|Xiaoyun Li|Gennady Samorodnitsky


Anthology ID:DBLP:conf/cikm/LiLS22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1177-1187
URL:https://doi.org/10.1145/3511808.3557413
DOI:https://doi.org/10.1145/3511808.3557413
DBLP:conf/cikm/LiLS22
BibTeX:
@inproceedings{li-2022-minhash, author = {Ping Li and Xiaoyun Li and Gennady Samorodnitsky}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {1177--1187}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557413}, doi = {https://doi.org/10.1145/3511808.3557413} }