Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation
2015 IEEE Winter Conference on Applications of Computer Vision（2015）
Key words
feature extraction,image representation,matrix algebra,unsupervised learning,Lat LRR,latent low-rank representation,salient feature identification,transformation matrix learning,unsupervised feature extraction
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