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Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.

F. Kulwa, C. Li, M. Grzegorzek, M. Rahaman, K. Shirahama, and S. Kosov. CoRR, (2022)

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LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation.J. Zhang, C. Li, S. Kosov, M. Grzegorzek, K. Shirahama, T. Jiang, C. Sun, Z. Li, and H. Li. Pattern Recognit., (2021)Kobe University and Kindai University at TRECVID 2018 AVS Task.K. Shirahama, Z. He, and K. Uehara. TRECVID, National Institute of Standards and Technology (NIST), (2018)Kobe University at TRECVID 2011 Semantic Indexing and Multimedia Event Detection.K. Shirahama, Y. Lin, and K. Uehara. TRECVID, National Institute of Standards and Technology (NIST), (2011)Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.F. Kulwa, C. Li, M. Grzegorzek, M. Rahaman, K. Shirahama, and S. Kosov. CoRR, (2022)Person Recognition Using Wi-Fi Channel State Information in an Indoor Environment.T. Mabuchi, Y. Taniguchi, and K. Shirahama. ICCE-TW, page 1-2. IEEE, (2020)A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors.M. Nisar, K. Shirahama, M. Irshad, X. Huang, and M. Grzegorzek. Sensors, 23 (19): 8234 (October 2023)Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification.F. Li, K. Shirahama, M. Nisar, X. Huang, and M. Grzegorzek. Sensors, 20 (15): 4271 (2020)Environmental microbiology aided by content-based image analysis.C. Li, K. Shirahama, and M. Grzegorzek. Pattern Anal. Appl., 19 (2): 531-547 (2016)Codebook-based electrooculography data analysis towards cognitive activity recognition.P. Lagodzinski, K. Shirahama, and M. Grzegorzek. Comput. Biol. Medicine, (2018)A general framework for sensor-based human activity recognition.L. Köping, K. Shirahama, and M. Grzegorzek. Comput. Biol. Medicine, (2018)

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Disambiguation of "Shirahama, Kimiaki"

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Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.

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Disambiguation of "Shirahama, Kimiaki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.

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Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.