Mar 7, 2019 · In this article, we propose a new multi-metric graph-fusion method, based on the Flexible Manifold Embedding algorithm.
This article proposes a new multi-metric graph-fusion method, based on the Flexible Manifold Embedding algorithm, that incorporates the label space ...
In semi-supervised label propagation (LP), the data manifold is approximated by a graph, which is considered as a similarity metric. Graph estimation is a ...
We propose a Sample-weighted Fused Graph-based Semi-supervised Classification (WFGSC) method for multi-view data in this paper.
Jun 14, 2022 · We propose a graph-based semi-supervised method in which multiple graphs are constructed to find the appropriate graph representation of the face images.
This repository contains graph-based semi-supervised learning (GSSL) papers mentioned in our GSSL survey. We will update this paper list to include new GSSL ...
Missing: Metric | Show results with:Metric
Nov 7, 2023 · In this study, we propose a model, termed MSL with Adaptive Graph Fusion (MSLAGF), which provides a novel solution for MSL.
similarity graph based on the fused metric, and conducts label propagation or ... metric fusion technique against multi-view data via a cross-view based graph.
May 13, 2021 · This paper proposes a framework named Graph-based Semi-supervised Learning via Improving the Quality of the Graph Dynamically.
Each layer in a graph is constructed based on similarities between countries in different sectors. The network contains 12-layers from obtained from 12 ...