# Structured Analysis Dictionary Learning for Image Classification

Source: [Structured Analysis Dictionary Learning for Image Classification](<https://www.sota2.com/research/paper/68fa64501e209131cea03f7d>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:01:12.135Z

Authors: Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

Published: 2018-05-02T01:45:26.000Z

## Abstract

We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning. To achieve more consistent classification, we associate a class characteristic structure of independent subspaces and impose it on the classification error constrained analysis dictionary learning. Experiments demonstrate that our method achieves a comparable or better performance than the state-of-the-art algorithms in a variety of visual classification tasks. In addition, our method greatly reduces the training and testing computational complexity.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1805.00597>)

[PDF](<https://arxiv.org/pdf/1805.00597.pdf>)