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pro vyhledávání: '"Higa, Kazushi"'
In this study, we develop a method for multi-task manifold learning. The method aims to improve the performance of manifold learning for multiple tasks, particularly when each task has a small number of samples. Furthermore, the method also aims to g
Externí odkaz:
http://arxiv.org/abs/2111.11655
Publikováno v:
In Neurocomputing 7 February 2022 473:138-157
Publikováno v:
Lecture Notes in Computer Science. 11303:388-398
In this paper, we propose a method for multi-task manifold learning. For a set of tasks of dimensionality reduction, the aim of the method is to model each given dataset as a manifold, and map it to a low-dimensional space. For this purpose, we use a