PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract)-Reference-Cited by-同舟云学术

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PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract)

Published:2024-05-13 Issue: Volume:15 Page:5685-5686
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
language:
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Author:

Chan Tsz Nam¹,Li Zhe²,U Leong Hou³,Cheng Reynold⁴

Affiliation:

1. Shenzhen University,Department of Computer Science and Software Engineering

2. Alibaba Cloud

3. University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Computer and Information Science

4. The University of Hong Kong,Department of Computer Science and Musketeers Foundation Institute of Data Science

Funder

NSFC

University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597903.pdf?arnumber=10597903

Reference15 articles.

1. Applications of Explicit Non-Linear Feature Maps in Steganalysis

2. SAFE: A share-and-aggregate bandwidth exploration framework for kernel density visualization;Chan;PVLDB,2022

3. PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM

4. Efficient Algorithms for Kernel Aggregation Queries

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