Filter Pruning by High-Order Spectral Clustering

Authors

Hang Lin (ORCID: https://orcid.org/0000-0002-0781-6630)
Lin Bie (ORCID: https://orcid.org/0000-0002-4844-1353)
Yubo Zhang (ORCID: https://orcid.org/0000-0001-8840-9422)
Yue Gao (ORCID: https://orcid.org/0000-0002-4971-590X)
Xibin Zhao (ORCID: https://orcid.org/0000-0002-6168-7016)
Yifan Peng (ORCID: https://orcid.org/0000-0003-0667-2599)

Institutions

Hangzhou Dianzi University (CN)
Tsinghua University (CN)

Publication Details

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Published: 2024-12-31
DOI: https://doi.org/10.1109/tpami.2024.3524381
Citations: 5
Primary Topic: Anomaly Detection Techniques and Applications
Type: article
Field-Weighted Citation Impact: 1.74

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article

Filter Pruning by High-Order Spectral Clustering

Hang Lin, Lin Bie, Yubo Zhang, Yue Gao et al.

Dec 31, 2024

5 citations

IEEE Transactions on Pattern Analysis and Machine Intelligence

Anomaly Detection Techniques and Applications

1.74

article

Filter Pruning by High-Order Spectral Clustering

Hang Lin, Lin Bie, Yubo Zhang, Yue Gao, Xibin Zhao, Yifan Peng

December 31, 2024article en

5 citations

Abstract

No abstract available for this paper.

IEEE Transactions on Pattern Analysis and Machine IntelligenceVol. 47(4)

Hangzhou Dianzi University (CN), Tsinghua University (CN)

Openalex Percentile: Top 12%

Anomaly Detection Techniques and Applications

1.74

DOI Source OpenAlex

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