文件名称:features
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- 上传时间:2012-11-16
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文件大小:16.4mb
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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
features/activation_functions/activate2LISA.m
features/activation_functions/activateISA.m
features/activation_functions/activateNN.m
features/bases/isa1layer_16_10_300_1.mat
features/bases/isa2layer_16t20_ts10t14_nf200_gs2_st4t4_l1_isa1layer_16_10_300_1.mat
features/compute_features.m
features/compute_features_1layer.m
features/README
features/transactConvISA.m
features/activation_functions
features/bases
features
features/activation_functions/activate2LISA.m
features/activation_functions/activateISA.m
features/activation_functions/activateNN.m
features/bases/isa1layer_16_10_300_1.mat
features/bases/isa2layer_16t20_ts10t14_nf200_gs2_st4t4_l1_isa1layer_16_10_300_1.mat
features/compute_features.m
features/compute_features_1layer.m
features/README
features/transactConvISA.m
features/activation_functions
features/bases
features
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