Inspired by the great success of deep neural networks (DNNs), many unfolding methods
have been proposed to integrate traditional image modeling techniques, such as dictionary …

The scattering signatures of a synthetic aperture radar (SAR) target image will be highly
sensitive to different azimuth angles/poses, which aggravates the demand for training …

This research paper introduces the novel local binary pattern (LBP) variant for face
recognition (FR) called as neighborhood and center difference-based-LBP (NCDB-LBP). In …

With the increasing use of surveillance cameras, face recognition is being studied by many
researchers for security purposes. Although high accuracy has been achieved for frontal …

Anomaly detection of a hyperspectral image without any prior information has attracted
much more attention in remote sensing image understanding and interpretation, which aims …

In this paper, a new discriminative dictionary learning algorithm is introduced. An entropy
based criterion is embedded into the objective function to enforce a proper structure for the …

We propose a novel structured analysis–synthesis dictionary pair learning method for
efficient representation and image classification, referred to as relaxed block-diagonal …

The learning model has been popular recently due to its promising results in various image
classification tasks. Many existing learning methods, especially the deep learning methods …

Domain adaptive image retrieval (DAR) aims to train the model with well-labeled source
domain and target images in order to retrieve source instances given query target samples …

Multi-view learning can be considered as a kind of classification method which explores
common and unique information among different views. For dictionary learning, it can …