Dataset Groups Activity Stream Large-Margin Representation Learning for Texture Classification The proposed approach uses a short sequence of convolutional layers (CLs) to learn representation for texture classification. BibTex: @dataset{Jonathan_de_Matos_and_Luiz_Eduardo_Soares_Oliveira_and_Alceu_de_Souza_Britto_Junior_and_Alessandro_Lameiras_Koerich_2024, abstract = {The proposed approach uses a short sequence of convolutional layers (CLs) to learn representation for texture classification.}, author = {Jonathan de Matos and Luiz Eduardo Soares Oliveira and Alceu de Souza Britto Junior and Alessandro Lameiras Koerich}, doi = {10.57702/17ovk7e6}, institution = {No Organization}, keyword = {'convolutional layers', 'large-margin metric learning', 'texture classification'}, month = {dec}, publisher = {TIB}, title = {Large-Margin Representation Learning for Texture Classification}, url = {https://service.tib.eu/ldmservice/dataset/large-margin-representation-learning-for-texture-classification}, year = {2024} }
