Multi-label Classification of Hyperspectral Images Based on Label-Specific Feature Fusion
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[1] Jiebo Luo,et al. Learning multi-label scene classification , 2004, Pattern Recognit..
[2] Bing Han,et al. Multi-label classification by formulating label-specific features from simultaneous instance level and feature level , 2020, Applied Intelligence.
[3] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[4] Jitendra Malik,et al. Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Geoff Holmes,et al. Classifier chains for multi-label classification , 2009, Machine Learning.
[6] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[7] Grigorios Tsoumakas,et al. Mining Multi-label Data , 2010, Data Mining and Knowledge Discovery Handbook.
[8] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[9] Xiao Li,et al. Multi-label learning with discriminative features for each label , 2015, Neurocomputing.
[10] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[11] Ying Wang,et al. Structured Sparse Method for Hyperspectral Unmixing , 2014, ArXiv.
[12] Korris Fu-Lai Chung,et al. Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning , 2019, ACM Trans. Knowl. Discov. Data.
[13] Ming Yang,et al. Sparse and low-rank representation for multi-label classification , 2018, Applied Intelligence.