Nuclear norm-based 2-DPCA for extracting features from images

F Zhang, J Yang, J Qian, Y Xu - IEEE transactions on neural …, 2015 - ieeexplore.ieee.org
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …
被引用次数：90 相关文章
[PDF] archive.org

[PDF][PDF] Nuclear Norm-Based 2-DPCA for Extracting Features From Images

F Zhang, J Yang, J Qian, Y Xu - IEEE TRANSACTIONS ON …, 2015 - scholar.archive.org
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …

Nuclear norm-based 2-DPCA for extracting features from images.

F Zhang, J Yang, J Qian, Y Xu - IEEE Transactions on Neural …, 2015 - europepmc.org
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …

Nuclear norm-based 2-DPCA for extracting features from images

F Zhang, J Yang, J Qian, Y Xu - IEEE transactions on …, 2015 - pubmed.ncbi.nlm.nih.gov
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …
[PDF] yongxu.org

[PDF][PDF] Nuclear Norm-Based 2-DPCA for Extracting Features From Images

F Zhang, J Yang, J Qian, Y Xu - IEEE TRANSACTIONS ON NEURAL …, 2015 - yongxu.org
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …

Nuclear Norm-Based 2-DPCA for Extracting Features From Images

F Zhang, J Yang, J Qian, Y Xu - IEEE Transactions on Neural Networks …, 2015 - infona.pl
The 2-D principal component analysis (2-DPCA) is a widely used method for image feature
extraction. However, it can be equivalently implemented via image-row-based principal …