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Showing results 1 to 9 of 9
TypeAuthor(s)TitleOther TitlesCitationCitation(alt)Issue Date
articleMaeda, Keisuke; Kushima, Tetsuya; Takahashi, Sho; Ogawa, Takahiro; Haseyama, MikiEstimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection-IEEE Access-8-Jul-2020
articleMaeda, Keisuke; Genma, Susumu; Ogawa, Takahiro; Haseyama, MikiImage Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification-ITE Transactions on Media Technology and Applications-1-Jul-2020
articleMaeda, Keisuke; Ito, Yoshiki; Ogawa, Takahiro; Haseyama, MikiSupervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration-IEEE Access-19-Jun-2020
articleMoroto, Yuya; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, MikiTensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion-Sensors-Apr-2020
articleMoroto, Yuya; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, MikiFew-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention-Sensors-Apr-2020
articleHorii, Kazaha; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, MikiInterpretable Convolutional Neural Network Including Attribute Estimation for Image Classification-ITE Transactions on Media Technology and Applications-2020
article (author version)Maeda, Keisuke; Takahashi, Sho; Ogawa, Takahiro; Haseyama, MikiConvolutional sparse coding-based deep random vector functional link network for distress classification of road structures-Computer-aided civil and infrastructure engineering-Aug-2019
article (author version)Maeda, Keisuke; Takahashi, Sho; Ogawa, Takahiro; Haseyama, MikiEstimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation between Heterogeneous Features-IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING-Aug-2018
articleOgawa, Takahiro; Sasaka, Yuma; Maeda, Keisuke; Haseyama, MikiFavorite Video Classification Based on Multimodal Bidirectional LSTM-IEEE Access-2018
Showing results 1 to 9 of 9

 

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