Occluded Face Recognition with a Novel Model Incorporating Block Diagonal Structure and Feature Consistency
J Guo, X Ma, S Huo - 2023 - researchsquare.com
The nuclear norm matrix regression method is effective for continuous occlusion in face
recognition. However, the existing method only considers low-rank structural information …
recognition. However, the existing method only considers low-rank structural information …
Principles and Techniques for Sparse Approximation-Based Diagnosis of Breast Cancer and Bone Disease
U Okorie - 2023 - search.proquest.com
Artificial Intelligence (AI) and machine learning techniques have recently shown significant
potential to help the diagnosis of diseases, including breast cancer and bone diseases. The …
potential to help the diagnosis of diseases, including breast cancer and bone diseases. The …
[PDF][PDF] 𝒍𝟏,∞ Constraint
Synthetic aperture radar (SAR) image classification aims at labeling pixels with different
categories and this is both, a fundamental step for automatic target recognition (ATR) and a …
categories and this is both, a fundamental step for automatic target recognition (ATR) and a …
Sar-Cdl: Sar Image Interpretable Despeckling Through Convolutional Dictionary Learning Network
X Zhao, F Ren, H Sun, Y Zhang, Y Ma, Q Qi - Available at SSRN 4493650 - papers.ssrn.com
Deep learning-based approaches have shown advantages in the task of despeckling for
SAR images. However, it is still difficult to explain due to the black-box nature of deep …
SAR images. However, it is still difficult to explain due to the black-box nature of deep …