Basis vector orthogonalization for an improved kernel gradient matching pursuit method

Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, Simon Wiesler, Ralf Schlueter, Hermann Ney

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

With the aim of achieving a computationally efficient optimization of kernel-based probabilistic models for various problems, such as sequential pattern recognition, we have already developed the kernel gradient matching pursuit method as an approximation technique for kernel-based classification. The conventional kernel gradient matching pursuit method approximates the optimal parameter vector by using a linear combination of a small number of basis vectors. In this paper, we propose an improved kernel gradient matching pursuit method that introduces orthogonality constraints to the obtained basis vector set. We verified the efficiency of the proposed method by conducting recognition experiments based on handwritten image datasets and speech datasets. We realized a scalable kernel optimization that incorporated various models, handled very high-dimensional features (>100 K features), and enabled the use of large scale datasets (> 10 M samples).

元の言語English
ホスト出版物のタイトル2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
ページ1909-1912
ページ数4
DOI
出版物ステータスPublished - 2012 10 23
外部発表Yes
イベント2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
継続期間: 2012 3 252012 3 30

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷物)1520-6149

Conference

Conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Japan
Kyoto
期間12/3/2512/3/30

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • これを引用

    Kubo, Y., Watanabe, S., Nakamura, A., Wiesler, S., Schlueter, R., & Ney, H. (2012). Basis vector orthogonalization for an improved kernel gradient matching pursuit method. : 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 1909-1912). [6288277] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6288277