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Akinori Hidaka

Showing results (1-10 of 4) with videos related to

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Scientific Reports|May 19, 2026
Layer-specific feature preference in a trained AlexNet model revealed by stylized image analysisNobuhiko Wagatsuma, Kazuma Ito, Akinori Hidaka
Frontiers in Computational Neuroscience|October 17, 2022
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet modelNobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura
Eneuro|November 25, 2020
Correspondence between Monkey Visual Cortices and Layers of a Saliency Map Model Based on a Deep Convolutional Neural Network for Representations of Natural ImagesNobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura
Plos One|March 8, 2012
Automatic analysis of composite physical signals using non-negative factorization and information criterionKenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 19, 2026
Layer-specific feature preference in a trained AlexNet model revealed by stylized image analysisNobuhiko Wagatsuma, Kazuma Ito, Akinori Hidaka
Frontiers in Computational Neuroscience|October 17, 2022
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet modelNobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura
Eneuro|November 25, 2020
Correspondence between Monkey Visual Cortices and Layers of a Saliency Map Model Based on a Deep Convolutional Neural Network for Representations of Natural ImagesNobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura
Plos One|March 8, 2012
Automatic analysis of composite physical signals using non-negative factorization and information criterionKenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, et al.
Pageof 1