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Face recognition via adaptive image combination 总被引:1,自引:0,他引:1
于威威 《上海交通大学学报(英文版)》2010,15(5):600-603
Dimension reduction and manifold learning are the two most popular feature extraction methods. The two methods focus on spatial
locality as a guiding principle to find a low-dimensional basis for describing high-dimensional data, but no bases or features
are more spatially localized than the original image pixels. So, adaptive image combination is presented to represent a class
by a combined sample. The combined sample is a linear combination of original samples in the same class. Adaptive image combination
(AIC) find the best combination coefficients by minimizing the intrapersonal distance and maximizing the interpersonal distance.
Experimental results show that AIC is effective. 相似文献
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