Fast feature extraction approach for multi-dimension feature space problems

Alaa Sagheer, Naoyuki Tsuruta, Rin-Ichiro Taniguchi, Daisaku Arita, Sakashi Maeda

研究成果: 著書/レポートタイプへの貢献会議での発言

3 引用 (Scopus)

抄録

Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We investigated the superiority of the new approach using two lip reading data sets which require a limited feature space as the experiments in [1] showed. In this paper, we continue FSOM investigation but using an RGB face recognition database across different poses and different lighting conditions. We believe that such data sets require multi-dimensional feature space to extract the information included in the original data in an effective way especially if you have a big number of classes. Again, we show here how is FSOM reduces the feature extraction time of traditional SOM drastically while preserving same SOM's qualities.

元の言語英語
ホスト出版物のタイトルProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
ページ417-420
ページ数4
3
DOI
出版物ステータス出版済み - 2006
イベント18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, 中国
継続期間: 8 20 20068 24 2006

その他

その他18th International Conference on Pattern Recognition, ICPR 2006
中国
Hong Kong
期間8/20/068/24/06

Fingerprint

Self organizing maps
Feature extraction
Face recognition
Lighting
Experiments

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

これを引用

Sagheer, A., Tsuruta, N., Taniguchi, R-I., Arita, D., & Maeda, S. (2006). Fast feature extraction approach for multi-dimension feature space problems. : Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 (巻 3, pp. 417-420). [1699553] https://doi.org/10.1109/ICPR.2006.545

Fast feature extraction approach for multi-dimension feature space problems. / Sagheer, Alaa; Tsuruta, Naoyuki; Taniguchi, Rin-Ichiro; Arita, Daisaku; Maeda, Sakashi.

Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 巻 3 2006. p. 417-420 1699553.

研究成果: 著書/レポートタイプへの貢献会議での発言

Sagheer, A, Tsuruta, N, Taniguchi, R-I, Arita, D & Maeda, S 2006, Fast feature extraction approach for multi-dimension feature space problems. : Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 巻. 3, 1699553, pp. 417-420, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, 中国, 8/20/06. https://doi.org/10.1109/ICPR.2006.545
Sagheer A, Tsuruta N, Taniguchi R-I, Arita D, Maeda S. Fast feature extraction approach for multi-dimension feature space problems. : Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 巻 3. 2006. p. 417-420. 1699553 https://doi.org/10.1109/ICPR.2006.545
Sagheer, Alaa ; Tsuruta, Naoyuki ; Taniguchi, Rin-Ichiro ; Arita, Daisaku ; Maeda, Sakashi. / Fast feature extraction approach for multi-dimension feature space problems. Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 巻 3 2006. pp. 417-420
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