A Fast Similarity Matrix Calibration Method with Incomplete Query-Reference-Cited by-同舟云学术

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A Fast Similarity Matrix Calibration Method with Incomplete Query

Published:2024-05-13 Issue: Volume:10 Page:1419-1430
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Ma Changyi¹^ORCID,Yu Runsheng²^ORCID,Zhang Youzhi³^ORCID

Affiliation:

1. Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, CAS, Hong Kong SAR, Hong Kong

2. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong

3. Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, CAS, Hong Kong, Hong Kong

Funder

InnoHK Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645456

Reference69 articles.

1. Melissa Ailem Aghiles Salah and Mohamed Nadif. 2017. Non-negative matrix factorization meets word embedding. In SIGIR.

2. Mean Square Error of Prediction as a Criterion for Selecting Variables

3. Mihael Ankerst Bernhard Braunmüller Hans-Peter Kriegel and Thomas Seidl. 1998. Improving adaptable similarity query processing by using approximations. In VLDB.

4. Theory of reproducing kernels

5. The Euclidian Distance Matrix Completion Problem

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