Dataset Groups Activity Stream Efficient CNN with uncorrelated Bag of Features The proposed approach is evaluated on three different datasets: MNIST, fashionMNIST, and CIFAR10. BibTex: @dataset{Firas_Laakom_and_Jenni_Raitoharju_and_Alexandros_Iosifidis_and_Moncef_Gabbouj_2024, abstract = {The proposed approach is evaluated on three different datasets: MNIST, fashionMNIST, and CIFAR10.}, author = {Firas Laakom and Jenni Raitoharju and Alexandros Iosifidis and Moncef Gabbouj}, doi = {10.57702/x3crm9vk}, institution = {No Organization}, keyword = {'Bag of Features', 'CNN', 'Image Classification'}, month = {dec}, publisher = {TIB}, title = {Efficient CNN with uncorrelated Bag of Features}, url = {https://service.tib.eu/ldmservice/dataset/ef-cient-cnn-with-uncorrelated-bag-of-features}, year = {2024} }