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Sequential Pattern Learning via Kernel Alignment

Conference Paper


Abstract


  • As a branch of data analysis, pattern alignment has received much attentions in recent years. More specifically, it learns to find intrinsic bridge between different domains and make data handling be transferrable for efficient recognition. In this work, an unsupervised feature learning method is proposed to meet demand on pattern alignment. Compared with existing methods, more efficiency can be reached owing to scalable learning, which is competent to tackle large-scale data for kernel alignment. Experimental results show proposed method can give comparable performance among the state-of-The-Art methods.

UOW Authors


  •   Cheng, Miao (external author)
  •   Yang, Weibin (external author)
  •   Li, Yonggang (external author)
  •   Zhang, Shichao (external author)
  •   Tsoi, Ah Chung
  •   Tang, Yuan Yan (external author)

Publication Date


  • 2019

Citation


  • Cheng, M., Yang, W., Li, Y., Zhang, S., Tsoi, A. Chung. & Tang, Y. Yan. (2019). Sequential Pattern Learning via Kernel Alignment. 11th International Conference on Advanced Computational Intelligence, ICACI 2019 (pp. 50-55). United States: IEEE.

Scopus Eid


  • 2-s2.0-85070577648

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3106

Start Page


  • 50

End Page


  • 55

Place Of Publication


  • United States

Abstract


  • As a branch of data analysis, pattern alignment has received much attentions in recent years. More specifically, it learns to find intrinsic bridge between different domains and make data handling be transferrable for efficient recognition. In this work, an unsupervised feature learning method is proposed to meet demand on pattern alignment. Compared with existing methods, more efficiency can be reached owing to scalable learning, which is competent to tackle large-scale data for kernel alignment. Experimental results show proposed method can give comparable performance among the state-of-The-Art methods.

UOW Authors


  •   Cheng, Miao (external author)
  •   Yang, Weibin (external author)
  •   Li, Yonggang (external author)
  •   Zhang, Shichao (external author)
  •   Tsoi, Ah Chung
  •   Tang, Yuan Yan (external author)

Publication Date


  • 2019

Citation


  • Cheng, M., Yang, W., Li, Y., Zhang, S., Tsoi, A. Chung. & Tang, Y. Yan. (2019). Sequential Pattern Learning via Kernel Alignment. 11th International Conference on Advanced Computational Intelligence, ICACI 2019 (pp. 50-55). United States: IEEE.

Scopus Eid


  • 2-s2.0-85070577648

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3106

Start Page


  • 50

End Page


  • 55

Place Of Publication


  • United States