A Graph-Based Algorithm for Supervised Image Classification
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Graph-Based Algorithm for Supervised Image Classification |
| Type de publication | Conference Paper |
| Year of Publication | 2018 |
| Auteurs | Du K, Liu J, Zhang X, Feng J, Guan Y, Domas S |
| Editor | Shi Y, Fu H, Tian Y, Krzhizhanovskaya VV, Lees MH, Dongarra J, Sloot PMA |
| Conference Name | COMPUTATIONAL SCIENCE - ICCS 2018, PT II |
| Publisher | Univ Chinese Acad Sci; Natl Supercomputing Ctr Wuxi; Univ Amsterdam; NTU Singapore; Univ Tennessee |
| Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
| ISBN Number | 978-3-319-93701-4; 978-3-319-93700-7 |
| Mots-clés | Graph-based, image classification, Supervised learning |
| Résumé | Manifold learning is a main stream research track used for dimensionality reduction as a method to select features. Many variants have been proposed with good performance. A novel graph-based algorithm for supervised image classification is introduced in this paper. It makes the use of graph embedding to increase the recognition accuracy. The proposed algorithm is tested on four benchmark datasets of different types including scene, face and object. The experimental results show the validity of our solution by comparing it with several other tested algorithms. |
| DOI | 10.1007/978-3-319-93701-4_14 |