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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis
| Title: | Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis |
| Authors: | Tateno, Kohei Browse this author | | Ogawa, Takahiro Browse this author →KAKEN DB | | Haseyama, Miki Browse this author →KAKEN DB |
| Keywords: | dimensionality reduction | | visualization | | Fisher discriminant analysis | | canonical correlation analysis | | locality preserving approach |
| Issue Date: | Sep-2017 |
| Publisher: | 電子情報通信学会 |
| Journal Title: | IEICE transactions on information and systems |
| Volume: | E100D |
| Issue: | 9 |
| Start Page: | 2005 |
| End Page: | 2016 |
| Publisher DOI: | 10.1587/transinf.2016PCP0005 |
| Abstract: | A novel dimensionality reduction method, Fisher Discriminant Locality Preserving Canonical Correlation Analysis (FDLPCCA), for visualizing Web images is presented in this paper. FDLP-CCA can integrate two modalities and discriminate target items in terms of their semantics by considering unique characteristics of the two modalities. In this paper, we focus onWeb images with text uploaded on Social Networking Services for these two modalities. Specifically, text features have high discriminate power in terms of semantics. On the other hand, visual features of images give their perceptual relationships. In order to consider both of the above unique characteristics of these two modalities, FDLPCCA estimates the correlation between the text and visual features with consideration of the cluster structure based on the text features and the local structures based on the visual features. Thus, FDLP-CCA can integrate the different modalities and provide separated manifolds to organize enhanced compactness within each natural cluster. |
| Rights: | Copyright ©2017 The Institute of Electronics, Information and Communication Engineers |
| Relation: | https://search.ieice.org/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/70671 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小川 貴弘
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