Supervised Local Tangent Space Alignment for Classification

Li, Hongyu; Chen, Wenbin; Shen, I-Fan

Supervised Local Tangent Space Alignment for Classification

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1620-1620.

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.

Hongyu Li, Wenbin Chen, and I-Fan Shen. 2005. Supervised Local Tangent Space Alignment for Classification. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1620–1620. https://ijcai.org/proceedings/2005/343

@inproceedings{ijcai2005p343,
  title     = {Supervised Local Tangent Space Alignment for Classification},
  author    = {Li, Hongyu and Chen, Wenbin and Shen, I-Fan},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {1620--1620},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/343},
}

TY  - CPAPER
TI  - Supervised Local Tangent Space Alignment for Classification
AU  - Li, Hongyu
AU  - Chen, Wenbin
AU  - Shen, I-Fan
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 1620
EP  - 1620
UR  - https://ijcai.org/proceedings/2005/343
ER  -