In this paper, we propose an approach for multi-label classification when label details are incomplete by learning auxiliary label matrix from the observed labels, and generating an embedding from learnt label correlations preserving the correlation structure in model coefficients.
multi-label
multilabel
multilabel-classification
multi-label-learning
missing-labels
auxiliary-labels
label-correlation-embedding
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Updated
Jan 28, 2024 - MATLAB