文件名称:features
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Learning Hierarchical Invariant Sptio-temporal Features for Action Recognition with Independent Subspace Analysis. This package is aimed at providing read-to-use video features the stacked convolutional ISA model described in the paper, and functions to directly extract features from video-Learning Hierarchical Invariant Sptio-temporal Features for Action Recognition with Independent Subspace Analysis. This package is aimed at providing read-to-use video features the stacked convolutional ISA model described in the paper, and functions to directly extract features from video
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下载文件列表
features\activateNN.m
........\.......ion_functions\activate2LISA.m
........\....................\activateISA.m
........\....................\activateNN.m
........\bases\isa1layer_16_10_300_1.mat
........\.....\isa2layer_16t20_ts10t14_nf200_gs2_st4t4_l1_isa1layer_16_10_300_1.mat
........\compute_features.m
........\compute_features_1layer.m
........\README
........\transactConvISA.m
........\activation_functions
........\bases
features
........\.......ion_functions\activate2LISA.m
........\....................\activateISA.m
........\....................\activateNN.m
........\bases\isa1layer_16_10_300_1.mat
........\.....\isa2layer_16t20_ts10t14_nf200_gs2_st4t4_l1_isa1layer_16_10_300_1.mat
........\compute_features.m
........\compute_features_1layer.m
........\README
........\transactConvISA.m
........\activation_functions
........\bases
features