Deep Dictionary Learning for Image Recognition with Limited Data in 2025

K. V. Sai Phani, N. Sumanjali, M. Siva Chinmai, V. Swapna Sree, S. Sowmya, S. Faizunnisa

2025

Abstract

In case of working with few images available, deep dictionary learning (DDL) is an effective image recognition method. Hence, DDL combines sparse coding and deep learning to extract meaningful hierarchical features from images and encourage sparsity in order to improve the computational efficiency. Traditional deep learning models tend to have more demands on the size of dataset for the effective training while they do not generalize well when provided with less labeled data, on which DDL can do a good job utilizing the pre-learned dictionaries and unsupervised learning techniques. It helps in generalizing and reducing the risk of over fitting. Moreover, DDL is compatible with transfer learning, semi supervised learning, and data augmentation in order to improve performance with limited data. Moreover, progress in optimization algorithms and regularization have made DDL models more efficient and stable in the recent times. When labeled data is hard to obtain, the applications of the technique are vast in fields such as medical imaging, security surveillance, and autonomous systems. In this paper, we have investigated the promise of DDL for image recognition with limited data, highlighted benefits of DDL and discussed difficulties holding back the DDL models training and deployment.

Paper Citation

in Harvard Style

Phani K., Sumanjali N., Chinmai M., Sree V., Sowmya S. and Faizunnisa S. (2025). Deep Dictionary Learning for Image Recognition with Limited Data in 2025. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 454-461. DOI: 10.5220/0013899900004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Phani and N. Sumanjali and M. Chinmai and V. Sree and S. Sowmya and S. Faizunnisa},
title={Deep Dictionary Learning for Image Recognition with Limited Data in 2025},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={454-461},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013899900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Deep Dictionary Learning for Image Recognition with Limited Data in 2025
SN - 978-989-758-777-1
AU - Phani K.
AU - Sumanjali N.
AU - Chinmai M.
AU - Sree V.
AU - Sowmya S.
AU - Faizunnisa S.
PY - 2025
SP - 454
EP - 461
DO - 10.5220/0013899900004919
PB - SciTePress