Deep learning for mining protein data
The recent emergence of deep learning to characterize complex patterns of protein big data
reveals its potential to address the classic challenges in the field of protein data mining …
reveals its potential to address the classic challenges in the field of protein data mining …
Zernike pooling: Generalizing average pooling using zernike moments
Most of the established neural network architectures in computer vision are essentially
composed of the same building blocks (eg, convolutional, normalization, regularization …
composed of the same building blocks (eg, convolutional, normalization, regularization …
[PDF][PDF] Survey on the loss function of deep learning in face recognition
J Wang, S Feng, Y Cheng… - Journal of Information …, 2021 - cdn.techscience.cn
With the continuous development of face recognition network, the selection of loss function
plays an increasingly important role in improving accuracy. The loss function of face …
plays an increasingly important role in improving accuracy. The loss function of face …
Rigorous imaging-based measurement method of polarization aberration in hyper-numerical aperture projection optics
E Li, Y Li, Y Liu, K Liu, Y Sun, P Wei - Optics express, 2021 - opg.optica.org
Imaging-based measurement methods of polarization aberration (PA) are indispensable in
hyper-numerical aperture projection optics for advanced lithography. However, the current …
hyper-numerical aperture projection optics for advanced lithography. However, the current …
[PDF][PDF] Zernike Pooling: Generalizing Average Pooling Using Zernike Moments
P DARAS - vcl.iti.gr
Most of the established neural network architectures in computer vision are essentially
composed of the same building blocks (eg, convolutional, normalization, regularization …
composed of the same building blocks (eg, convolutional, normalization, regularization …