The combination of K-SVD classifiers has been proved to be an effective tool for improving
the performance in recognition applications. The rationale of this method follows from the …

The last few years have witnessed fast development on dictionary learning approaches for a
set of visual computing tasks, largely due to their utilization in developing new techniques …

Projection learning is an effective and widely used technique for extracting discriminative
features for pattern recognition and classification. In projection learning, it is essential to …

During the last decade, graph regularized dictionary learning (DL) models have obtained a
lot of attention due to their flexible and discriminative ability in nonlinear pattern …

Collaborative representation-based classification (CRC) has demonstrated remarkable
progress in the past few years because of its closed-form analytical solutions. However, the …

Insulator determines the insulation level and power supply reliability of transmission lines.
The traditional operation and maintenance method of insulators has a large workload. This …

The supervised dictionary learning methods have made considerable achievements in the
field of pattern recognition. In order to make the learned coefficients have intraclass similarity …

In this paper, we focus on image classification based on dictionary learning. The structured
analysis dictionary learning (SADL) algorithm introduces a mapping matrix to the …

In this paper, a novel framework is introduced by combining compressive sensing (CS)
theory, digital curvelet transform, and Principal Component Analysis to improve the …

A simple, rapid, accurate, and non‐destructive method was developed for the determination
of cannabinoids, combining principal component analysis and multi‐layer perceptron neural …