This paper aims to summarize central findings from a literature review and technical survey
on unmanned aerial vehicle (UAV) techniques for bridge inspection and damage …

The use of image processing for the detection and classification of defects has been a reality
for some time in science and industry. New methods are continually being presented to …

This study presents an unsupervised novel algorithm for color image segmentation, object
detection and tracking based on unsupervised learning step followed with a post processing …

In pixel classification-based segmentation both the quality of the feature set and the pixel
classification technique employed may influence the accuracy of the process. Motivated by …

Traditional methods cannot fully reflect the fatigue degree of human exercise through a
single parameter, which has the problems of long recognition time, high recognition …

In an automatic bobbin management system that simultaneously detects bobbin color and
residual yarn, a composite texture segmentation and recognition operation based on an odd …

The CANDECOMP/PARAFAC (CP) decomposition of multi-dimensional arrays was first
introduced by Hitchcock in 1927 [30, 31]. It breaks down a tensor into a sum of simpler …

We propose a block coordinate descent type algorithm for estimating the rank of a given
tensor. In addition, the algorithm provides the canonical polyadic decomposition of a tensor …

Tensor decompositions are higher-order analogues of matrix decompositions which have
applications in data analysis, signal processing, machine learning and data mining. One of …