About this document
5 by Haitham Qutaiba is a document available to read on EtoBox.
The paper presents a hybrid SVM-ANN model utilizing Sparse Metric Learning-based Kernel Regression (KR-SML) to classify visual art paintings by genre, artist, and style. It emphasizes the importance of extracting detailed visual features for enhancing educational systems in visual arts and improving cognitive development in students. The proposed model demonstrates superior performance in similarity measurement and classification tasks compared to existing techniques.
- Author
- Haitham Qutaiba
- Language
- EN