Accuracy, mean average precision (mAP), training and testing time comparison of stochastic gradient decent (SGD) and stochastic dual coordinate ascent (SDCA) method in terms of bag of visual word (BoVW), vector of locally aggregated descriptor (VLAD), Fisher vector (FV) using linear, hell (Hel.) and chi2 methods.
收藏NIAID Data Ecosystem2026-03-08 收录
下载链接：
https://figshare.com/articles/dataset/_Accuracy_mean_average_precision_mAP_training_and_testing_time_comparison_of_stochastic_gradient_decent_SGD_and_stochastic_dual_coordinate_ascent_SDCA_method_in_terms_of_bag_of_visual_word_BoVW_vector_of_locally_aggregated_descriptor_VLAD_Fisher_vector_FV/1401322
下载链接
链接失效反馈官方服务：
资源简介：
Accuracy, mean average precision (mAP), training and testing time comparison of stochastic gradient decent (SGD) and stochastic dual coordinate ascent (SDCA) method in terms of bag of visual word (BoVW), vector of locally aggregated descriptor (VLAD), Fisher vector (FV) using linear, hell (Hel.) and chi2 methods.
创建时间：
2015-05-01
