Projection spectral analysis: A unified approach to PCA and ICA with incremental learning

강훈 이현수 2018년

논문상세정보

인용/피인용

논문영향력 요약
동일주제 총논문수	논문피인용 총횟수	주제별 논문영향력의 평균
주제	전기통신
115	0	0.0%

논문영향력
주제		주제별 논문수	주제별 논문영향력
주제분류(KDC/DDC)	전기통신	115	0.0%
계		115	0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수

Projection Spectral Analysis
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J. J. Hopfield [1982]
Multilayered associative neural networks (m. a. n. n.): Storage capacity vs. perfect recall
H. Kang [1994]
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Chen, C-T. [1999]
Linear operator theory in engineering and science - Applied mathematical sciences, vol. 40
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Y. Bengio [2009]
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Fast and robust fixed-point algorithms for independent component analysis
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Associative cubes in unsupervised learning for robust gray-scale image recognition
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V. Calhoun [2001]
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S. Shimizu [2006]
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G. E. Hinton [2006]