Search Results - Takeda, K.

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  1. 1

    Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions

    Suzuki, T., Tanaka, R., Takeda, K., Fujii, K.
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  2. 2

    Automatic detection of faults in simulated race walking from a fixed smartphone camera

    Suzuki, T., Takeda, K., Fujii, K.
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  3. 3

    Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

    Teranishi, M., Tsutsui, K., Takeda, K., Fujii, K.
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  4. 4

    Pitching strategy evaluation via stratified analysis using propensity score

    Nakahara, H., Takeda, K., Fujii, K.
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  5. 5

    Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning

    Nakahara, H., Takeda, K., Fujii, K.
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  6. 6

    High-intensity interval training-induced metabolic adaptation coupled with an increase in Hif-1a and glycolytic protein expression

    Abe, T., Kitaoka, Y., Kikuchi, D. M., Takeda, K., Numata, O., Takemasa, T.
    Published in Journal of Applied Physiology (2015)
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  7. 7

    Swimming data capture

    Forrester, A. I. J., Brooks, C. J., Turnock, S. R., Taunton, D. J., Hudson, D. A., Takeda, K., Blake, J. I. R., Prince, M. P., Phillips, C. W. G., Webb, A. P., Banks, J., Stokes, M. J., Warner, M.
    Published 2011
    congress proceedings
    “…Takeda, K.…”
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