Despite progress in vision-based inspection algorithms, real-world indus...
Generative adversarial networks (GANs), trained on a large-scale image
d...
Unsupervised pixel-level defective region segmentation is an important t...
Display front-of-screen (FOS) quality inspection is essential for the ma...
Unstructured point clouds with varying sizes are increasingly acquired i...
Image-based anomaly detection systems are of vital importance in various...
Cyber-physical systems (CPS) have been increasingly attacked by hackers....
Heterogeneous but complementary sources of data provide an unprecedented...
Tensor data with rich structural information becomes increasingly import...
In the machine learning domain, active learning is an iterative data
sel...
Carbon nanotube (CNT) thin sheet, or buckypaper, has shown great potenti...
Estimation of model parameters of computer simulators, also known as
cal...
In point-based sensing systems such as coordinate measuring machines (CM...
We investigate two important properties of M-estimator, namely, robustne...
Robust real-time monitoring of high-dimensional data streams has many
im...
High dimensional data has introduced challenges that are difficult to ad...
Multivariate functional data from a complex system are naturally
high-di...
Raman mapping technique has been used to do in-line quality inspections ...
With advancements in sensor technology, a heterogeneous set of data,
con...
With advancements in sensor technology, a heterogeneous set of data,
con...