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Supervised Local Tangent Space Alignment for Classification

Hongyu Li, Wenbin Chen, I-Fan Shen
IJCAI 2005 pp. 1620-1621
/ijcai/2005/li2005ijcai-supervised/

Abstract

Supervised local tangent space alignment (SLTSA) is an extension of local tangent space alignment (LTSA) to supervised feature extraction. Two algorithmic improvements are made upon LTSA for classification. First a simple technique is proposed to map new data to the embedded low-dimensional space and make LTSA suitable in a changing, dynamic environment. Then SLTSA is introduced to deal with data sets containing multiple classes with class membership information. 1

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Text

Li et al. "Supervised Local Tangent Space Alignment for Classification." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Li et al. "Supervised Local Tangent Space Alignment for Classification." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/li2005ijcai-supervised/)

BibTeX

@inproceedings{li2005ijcai-supervised,
  title     = {{Supervised Local Tangent Space Alignment for Classification}},
  author    = {Li, Hongyu and Chen, Wenbin and Shen, I-Fan},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1620-1621},
  url       = {https://mlanthology.org/ijcai/2005/li2005ijcai-supervised/}
}