Sparse Representation Based Classification

Sparse Representation-based Classification (SRC) is a classification task based on the sparse representation of data. It aims to represent data as a linear combination of a few atoms selected from a predefined dictionary, thereby achieving efficient and accurate classification. This method has significant application value in the field of computer vision, effectively handling high-dimensional data and improving classification performance.