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Tang, Long; Liu, Yelei; Tian, Yingjie; Pardalos, Panos M (2025) Complementary label learning with multi-view data and a semi-supervised labeling mechanism. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111651

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Reference TypeJournal (article/letter/editorial)
TitleComplementary label learning with multi-view data and a semi-supervised labeling mechanism
JournalPattern Recognition
AuthorsTang, LongAuthor
Liu, YeleiAuthor
Tian, YingjieAuthor
Pardalos, Panos MAuthor
Year2025 (September)Volume165
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2025.111651Search in ResearchGate
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Mindat Ref. ID18310558Long-form Identifiermindat:1:5:18310558:9
GUID0
Full ReferenceTang, Long; Liu, Yelei; Tian, Yingjie; Pardalos, Panos M (2025) Complementary label learning with multi-view data and a semi-supervised labeling mechanism. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111651
Plain TextTang, Long; Liu, Yelei; Tian, Yingjie; Pardalos, Panos M (2025) Complementary label learning with multi-view data and a semi-supervised labeling mechanism. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111651
In(2025) Pattern Recognition Vol. 165. Elsevier BV

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Not Yet Imported: National Science Review - journal-article : 10.1093/nsr/nwx106

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Not Yet Imported: IEEE Transactions on Cybernetics - journal-article : 10.1109/TCYB.2021.3107422

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Not Yet Imported: IEEE Transactions on Pattern Analysis and Machine Intelligence - journal-article : 10.1109/TPAMI.2019.2941684

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Bao (2018) Classification from pairwise similarity and unlabeled data , 452
Ishida (2018) Adv. Neural Inf. Process. Syst. Binary classification from positive-confidence data , 31
Not Yet Imported: - journal-article : 10.1162/neco_a_01262

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Tang (2024) Knowl. Based. Syst. Robust Pcomp classification using multi-view pairwise data with positive confidence priority 299
Ishida (2017) Adv. Neural Inf. Process. Syst. Learning from complementary labels 30
Not Yet Imported: - journal-article : 10.1109/TCYB.2021.3089337

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Not Yet Imported: - journal-article : 10.1016/j.neunet.2022.08.014

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Not Yet Imported: - journal-article : 10.1016/j.neunet.2023.10.013

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Not Yet Imported: - journal-article : 10.1002/int.22958

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Ishida (2019) Complementary-label learning for arbitrary losses and models , 2971
Chou (2020) Unbiased risk estimators can mislead: a case study of learning with complementary labels , 1929
Feng (2020) Learning with multiple complementary labels , 3072
Yu (2018) Learning with biased complementary labels , 68
Gao (2021) Discriminative complementary-label learning with weighted loss , 3587
Gao (2023) Unbiased risk estimator to multi-labeled complementary label learning , 3732
Liu (2023) Consistent complementary-label learning via order-preserving losses , 8734
Not Yet Imported: - journal-article : 10.1109/TPAMI.2020.2973634

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Not Yet Imported: - journal-article : 10.1007/s00521-021-06599-y

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Not Yet Imported: - journal-article : 10.1016/j.inffus.2023.102098

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Not Yet Imported: IEEE Transactions on Multimedia - journal-article : 10.1109/TMM.2024.3374579

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Not Yet Imported: IEEE Transactions on Pattern Analysis and Machine Intelligence - journal-article : 10.1109/TPAMI.2022.3171983

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Not Yet Imported: - journal-article : 10.1016/j.neunet.2023.04.030

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Chi (2023) IEEE Trans. Knowl. Data Eng. Multiple kernel subspace learning for clustering and classification 35, 7278
Not Yet Imported: - journal-article : 10.1109/TIP.2021.3062692

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Not Yet Imported: - journal-article : 10.1109/TCYB.2020.3013136

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Not Yet Imported: - journal-article : 10.1016/j.knosys.2022.110092

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Tang (2018) IEEE Trans. Neural Netw. Multiview privileged support vector machines 29, 3463
Song (2024) Adv. Neural Inf. Process. Syst. Optimal block-wise asymmetric graph construction for graph-based semi-supervised learning , 36
Schölkopf (2001) A generalized representer theorem , 416
He (2016) Deep residual learning for image recognition , 770
Szegedy (2015) Going deeper with convolutions , 1
Demšar (2006) J. Mach. Learn. Res. Statistical comparisons of classifiers over multiple data sets 7, 1
Van der Maaten (2008) J. Mach. Learn. Res. Visualizing data using t-SNE 9


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