원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.1
2014.02
pp.13-26
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Traditional Slow Feature Analysis
3. Supervised Slow Feature Analysis (SSFA)
3.1 Pseudo-time Series Construction
3.2 The Derivation of Algorithm
3.3 Algorithm Summarization
4. Connections with other DR Methods
4.1 Connections with LPP
4.2 Connections with NPE
5. Experiments and Discussion
5.1 Experiments on Yale Database
5.2 EXperiments on ORL Database
5.3 Experiments on AR Database
5.4 Experiments on Exteded FERET Database
5.5 Discussion
6. Conclusions and Future Work
Acknowledgments
References
1. Introduction
2. Traditional Slow Feature Analysis
3. Supervised Slow Feature Analysis (SSFA)
3.1 Pseudo-time Series Construction
3.2 The Derivation of Algorithm
3.3 Algorithm Summarization
4. Connections with other DR Methods
4.1 Connections with LPP
4.2 Connections with NPE
5. Experiments and Discussion
5.1 Experiments on Yale Database
5.2 EXperiments on ORL Database
5.3 Experiments on AR Database
5.4 Experiments on Exteded FERET Database
5.5 Discussion
6. Conclusions and Future Work
Acknowledgments
References
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