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In this work, we study the multi-view partial label learning (MVPLL) problem, where each instance is depicted by different view features and associated with ...
Oct 22, 2024 · An attempt to synthesise the body of research places conceptions under two broad orientations characterised as teacher-centred/content-oriented ...
Multi-view prototype-based disambiguation for partial label learning ; Journal: Pattern Recognition, 2023, p. 109625 ; Publisher: Elsevier BV ; Authors: Shiding ...
To solve the MVPML problem, a two-stage graph-based disambiguation approach is proposed. Firstly, the ground-truth labels of each training example are estimated ...
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Sep 13, 2024 · Advances in Partial/Complementary Label Learning provides the most advanced and detailed information on partial/complementary label learning field.
In this paper, a first attempt named GRADIS, i.e. GRAph- based DISambiguation for multi-view partial multi-label learning, is proposed to solving the MVPML ...
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Jul 9, 2024 · Moreover, disambiguation is a relatively valid method to recover the ground-truth label by disambiguating the candidate label for each sample.
Multi-View Partial Multi-label Learning with Graph-based Disambiguation, AAAI, 2020, Code ; Partial Multi-label Learning using Label Compression, ICDM, 2020, -.
Multi-view prototype-based disambiguation for partial label learning. Shiding Sun, Xiaotong Yu, Yingjie Tian. https://doi.org/10.1016/j.patcog.2023.109625 ...
Aug 31, 2023 · Multi-view partial multi-label learning with graph- based disambiguation. In Association for the Advancement of Artificial Intelligence ...