A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …
improve the structural efficiency and safety. With advantages of long propagation distances …
Simple multiple kernel k-means with kernel weight regularization
Multiple kernel clustering (MKC) aims to determine the optimal kernel from several pre-
computed basic kernels. Most of MKC algorithms follow a common assumption that the …
computed basic kernels. Most of MKC algorithms follow a common assumption that the …
Consistency of multiple kernel clustering
Consistency plays an important role in learning theory. However, in multiple kernel
clustering (MKC), the consistency of kernel weights has not been sufficiently investigated. In …
clustering (MKC), the consistency of kernel weights has not been sufficiently investigated. In …
Unbiased and augmentation-free self-supervised graph representation learning
Abstract Graph Contrastive Learning (GCL) is a promising self-supervised method for
learning node representations that combines graph convolutional networks (GCN) and …
learning node representations that combines graph convolutional networks (GCN) and …