Jul 7, 2017 · In this paper, we utilize a simple and effective graph construction method to construct the graph over data lying on multiple data manifolds.
Abstract—Graph-based semi-supervised learning (SSL) has attracted great attention over the past decade. However, there are still several open problems in ...
A principled approach to SSL is to design a classification function that is sufficiently smooth with respect to the underlying structure collectively revealed ...
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This paper presents a novel pairwise constraint propagation approach by decomposing the challenging constraint propagation problem into a set of independent ...
• With label propagation, this translates to small changes in the ... • Embed samples into a new space, translating geodesic distances into Euclidean ...
Aug 8, 2019 · Semi-supervised learning (SSL) involves both labeled and unlabeled data in the learning process. Given that this learn- ing paradigm can solve ...
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Oct 21, 2024 · Label propagation is based on the idea that if two nodes are connected by a strong edge, they probably share the same label.
A computationally-based semi-supervised algorithm that yields a more accurate prediction than the label propagation algorithm, which is commonly used in ...
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