Geodesic multi-class SVM with stiefel manifold embedding
Manifold of geodesic plays an essential role in characterizing the intrinsic data geometry.
However, the existing SVM methods have largely neglected the manifold structure. As such …
However, the existing SVM methods have largely neglected the manifold structure. As such …
SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification
Nowadays, deep convolutional neural networks (CNNs) for face recognition exhibit a
performance comparable to human ability in the presence of the appropriate amount of …
performance comparable to human ability in the presence of the appropriate amount of …
[图书][B] Towards a Robust Unconstrained Face Recognition Pipeline with Deep Neural Networks
Y Shi - 2021 - search.proquest.com
Face recognition is a classic problem in the field of computer vision and pattern recognition
due to its wide applications in real-world problems such as access control, identity …
due to its wide applications in real-world problems such as access control, identity …
Spectral Clustering and Data Representation
G Zhong - 2021 - search.proquest.com
With the rapid development of information technology and the advent of big data era, high-
dimensional (HD) data are widespread in the fields of computer vision, machine learning …
dimensional (HD) data are widespread in the fields of computer vision, machine learning …
A development framework for automated facial expression recognition systems
Automated facial expression recognition (AFER) has become an important research area
with several computer vision (CV) applications. A robust AFER system requires sufficient …
with several computer vision (CV) applications. A robust AFER system requires sufficient …
[引用][C] An Effective Clustering Method Based on Shared Nearest Neighbors and Graph
R Han - American Journal of Engineering, 2021