With the development of vision technology, image set classification (ISC) has flourished in
the image processing field. Different from the one-shot image classification, ISC focuses on …

Collaborative representation-based classification (CRC), as a typical kind of linear
representation-based classification, has attracted more attention due to the effective and …

Modeling image sets as points on Grassmann manifold has attracted increasing interests in
computer vision community and has been applied to many applications. However, such …

Motivated by applications in clustering and optimization, there has been significant interest
in the variant for which the database models are high-dimensional data (such as imagesets …

Infrared (IR) search and track system are widely used in aerospace and defense fields. IR
small target detection (IRSTD) in heavy clouds and chaotic terrestrial environments remains …

Set-based video recognition is an important application in practice, and many specialized
approaches have been proposed. However, most of these methods either only use one kind …

Abstract Representation‐based classification (RBC) has been attracting a great deal of
attention in pattern recognition. As a typical extension to RBC, collaborative representation …

Clustering is a fundamental learning task with many applications in a wide range of fields.
Recently proposed techniques have shown that performing clustering in a discriminative …

Infrared image recognition technology can work day and night and has a long detection
distance. However, the infrared objects have less prior information and external factors in …

For image-set based classification, sparse coding and collaborative representation have
gained a lot of attention due to their robustness and effectiveness. However, most existing …