Semi-Supervised Learning on Riemannian Manifolds.
We consider the general problem of utilizing both labeled and unlabeled data to improve classification accuracy. Under the assumption that the data lie on a submanifold in a high dimensional space, we develop an algorithmic framework to classify a partially labeled data set in a principled manner. T...
| 出版年: | Machine learning. 56, 1-3 (2004). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 主題: |