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Found 3 papers, 1 papers with code
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
In this paper, we propose a novel domain adaptation method, which infers target pseudo-labels through cross-domain label propagation, such that the underlying manifold structure of two domain data can be explored.
Robust Locality-Aware Regression for Labeled Data Classification
With the dramatic increase of dimensions in the data representation, extracting latent low-dimensional features becomes of the utmost importance for efficient classification.
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Domain adaptation has been a fundamental technology for transferring knowledge from a source domain to a target domain.
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