Jan 2, 2020 · We propose global and local multi-view multi-label learning (GLMVML). This method can exploit global and local label correlations of both the whole data set ...
Multi-view multi-label learning is widely used in multiple fields, and it aims to process data sets represented by multiple forms (views) and labeled by ...
Apr 8, 2020 · In this paper, we develop a global and local multi-view multi-label learning with incomplete views and labels (GLMVML-IVL) to process this.
AbstractIn order to process multi-view multi-label data sets, we propose global and local multi-view multi-label learning (GLMVML).
Abstract: Multi-view multi-label learning is widely used in multiple fields, and it aims to process data sets represented by multiple forms (views) and ...
Apr 4, 2017 · In this paper, we propose a new multi-label approach GLOCAL dealing with both the full-label and the missing-label cases, exploiting global and local label ...
This paper develops a weak-label-based global and local multi-view multi-label learning with three-way clustering (WL-. GLMVML-ATC) to solve multi-view multi- ...
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Moreover, most multi-view multi-label learning methods neglect the global and local label correlations of both the whole data set and each view and the ...
Oct 23, 2021 · This paper develops a weak-label-based global and local multi-view multi-label learning with three-way clustering (WL-GLMVML-ATC) to solve ...
GLOCAL exploits the global and local label cor- relations on the representation learning, which is also an ap- plication of label manifold. However, C2AE and ...