As basic research, it has also received increasing attention from people that the “curse of
dimensionality” will lead to increase the cost of data storage and computing; it also …

Forward-looking sonar is one of the essential imaging equipment used in exploring
underwater targets. However, it is always challenging to detect targets from sonar images …

Existing data acquisition technologies desire further improvement to meet the increasing
need for big, accurate, and high‐quality data collection. Most of the collected data have …

The Internet of Things (IoT) is increasingly providing industrial production objects to connect
with the physical world and has been widely used in various fields. Although it has brought …

Supervised subspace projection technology is a major method for dimensionality reduction
in pattern recognition. At present, most supervised subspace projection algorithms are …

Robust principal component analysis (PCA) for feature extraction, which takes various
robust norms as the distance metric, has been shown to be valid in data reconstruction and …

Classification accuracy and interpretability are crucial importance for recognizing seizures
based on electroencephalogram (EEG) signals. This study presents a novel deep ladder …

Major challenge faced by the recent face recognition techniques treat with pose variation
during matching. When comparing different person images, the change in facial image …

This paper presents a science mapping approach to analyze thematic evolution of face
recognition research. For this reason, different bibliometric tools are combined (performance …

Genetic variations in a species across geographic areas typically exhibit spatial clines.
There is increasing interest in inferring population genetic structure to understand the …