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Learning Image Representation Based on Convolutional Neural Networks.

, , , , and . ICONIP (2), volume 10635 of Lecture Notes in Computer Science, page 642-652. Springer, (2017)

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Learning Image Representation Based on Convolutional Neural Networks., , , , and . ICONIP (2), volume 10635 of Lecture Notes in Computer Science, page 642-652. Springer, (2017)Learning Intermediary Category Labels for Personal Recommendation., , , , , , and . APWeb/WAIM (2), volume 10367 of Lecture Notes in Computer Science, page 124-132. Springer, (2017)AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically., , , , and . ICTAI, page 30-36. IEEE Computer Society, (2017)An adaptive mechanism to achieve learning rate dynamically., , , , , and . Neural Comput. Appl., 31 (10): 6685-6698 (2019)EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images., , , , and . Neurocomputing, (2019)A New Proof on Embedding the Category of Proximity Spaces into the Category of Nearness Spaces.. Fundam. Informaticae, 88 (1-2): 207-223 (2008)MSA-Net: Multiscale Spatial Attention Network for the Classification of Breast Histology Images., , , and . BICS, volume 11691 of Lecture Notes in Computer Science, page 273-282. Springer, (2019)Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis., , , , and . DASFAA (1), volume 10177 of Lecture Notes in Computer Science, page 393-407. Springer, (2017)Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning., , , , , and . KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 763-773. Springer, (2019)