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IEEE Transactions on Pattern Analysis and Machine Intelligence
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January 7, 2022
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise
Ming-Kun Xie, Sheng-Jun Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 15, 2021
Partial Multi-Label Learning With Noisy Label Identification
Ming-Kun Xie, Sheng-Jun Huang
IEEE Transactions on Neural Networks and Learning Systems
|
July 6, 2017
Joint Estimation of Multiple Conditional Gaussian Graphical Models
Feihu Huang, Songcan Chen, Sheng-Jun Huang
IEEE Transactions on Cybernetics
|
January 7, 2017
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 20, 2020
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Active Learning by Querying Informative and Representative Examples
Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 4, 2018
Fast Multi-Instance Multi-Label Learning
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 25, 2025
Active Learning for Multiple Target Models
Sheng-Jun Huang, Yi Li, Ying-Peng Tang
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
September 11, 2015
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning
Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
January 15, 2019
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages
Wei Shao, Sheng-Jun Huang, Mingxia Liu, et al.
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Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
January 7, 2022
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise
Ming-Kun Xie, Sheng-Jun Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 15, 2021
Partial Multi-Label Learning With Noisy Label Identification
Ming-Kun Xie, Sheng-Jun Huang
IEEE Transactions on Neural Networks and Learning Systems
|
July 6, 2017
Joint Estimation of Multiple Conditional Gaussian Graphical Models
Feihu Huang, Songcan Chen, Sheng-Jun Huang
IEEE Transactions on Cybernetics
|
January 7, 2017
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 20, 2020
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Active Learning by Querying Informative and Representative Examples
Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 4, 2018
Fast Multi-Instance Multi-Label Learning
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 25, 2025
Active Learning for Multiple Target Models
Sheng-Jun Huang, Yi Li, Ying-Peng Tang
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
September 11, 2015
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning
Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
January 15, 2019
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages
Wei Shao, Sheng-Jun Huang, Mingxia Liu, et al.
Page
of 2