Search Results - Endo, Yuchi

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  1. 1
    L-Ficolin Binds to the Glycoproteins Hemagglutinin and Neuraminidase and Inhibits Influenza A Virus Infection Both in vitro and in vivo

    L-Ficolin Binds to the Glycoproteins Hemagglutinin and Neuraminidase and Inhibits Influenza A Virus Infection Both in vitro and in vivo by Pan, Qin, Chen, Haidan, Wang, Feng, Jeza, Victor Tunje, Hou, Wei, Zhao, Yinglan, Xiang, Tian, Zhu, Ying, Endo, Yuchi, Fujita, Teizo, Zhang, Xiao-Lian

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  2. 2
    Hard and Fuzzy c -Means Clustering with Conditionally Positive Definite Kernel

    Hard and Fuzzy c -Means Clustering with Conditionally Positive Definite Kernel by Kanzawa, Yuchi, Endo, Yasunori, Miyamoto, Sadaaki

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  3. 3
    KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c -Means

    KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c -Means by Kanzawa, Yuchi, Endo, Yasunori, Miyamoto, Sadaaki

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  4. 4
    Semi-Supervised Fuzzy c -Means Algorithm by Revising Dissimilarity Between Data

    Semi-Supervised Fuzzy c -Means Algorithm by Revising Dissimilarity Between Data by Kanzawa, Yuchi, Endo, Yasunori, Miyamoto, Sadaaki

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  5. 5
    On Kernel Fuzzy c -Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis

    On Kernel Fuzzy c -Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis by Kanzawa, Yuchi, Endo, Yasunori, Miyamoto, Sadaaki

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  6. 6
    Fuzzy c -Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization

    Fuzzy c -Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization by Endo, Yasunori, Hasegawa, Yasushi, Hamasuna, Yukihiro, Kanzawa, Yuchi

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  7. 7
    Elevation of platelet activating factor, inflammatory cytokines, and coagulation factors in the internal jugular vein of patients with subarachnoid hemorrhage

    Elevation of platelet activating factor, inflammatory cytokines, and coagulation factors in the internal jugular vein of patients with subarachnoid hemorrhage by HIRASHIMA, Y, NAKAMURA, S, ENDO, S, KUWAYAMA, N, NARUSE, Y, TAKAKU, A

    Published in Neurochemical research
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  8. 8
    On FNM-based and RFCM-based fuzzy co-clustering algorithms

    On FNM-based and RFCM-based fuzzy co-clustering algorithms by Kanzawa, Y., Endo, Y.

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  9. 9
    On hard and fuzzy c-means clustering with conditionally positive definite kernel

    On hard and fuzzy c-means clustering with conditionally positive definite kernel by Kanzawa, Yuchi, Endo, Yasunori, Miyamoto, Sadaaki

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  10. 10
    On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors

    On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors by Endo, Y., Hamasuna, Y., Kanzawa, Y., Miyamoto, S.

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  11. 11
    On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis

    On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis by Kanzawa, Y, Endo, Y, Miyamoto, S

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  12. 12
    Entropy regularized fuzzy C-lines for data with tolerance

    Entropy regularized fuzzy C-lines for data with tolerance by Kanzawa, Y., Endo, Y., Miyamoto, S.

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  13. 13
    Fuzzy classification function of entropy regularized fuzzy c-means algorithm for data with tolerance using kernel function

    Fuzzy classification function of entropy regularized fuzzy c-means algorithm for data with tolerance using kernel function by Kanzawa, Y., Endo, Y., Miyamoto, S.

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  14. 14
    Fuzzy c-means for data with tolerance by introducing penalty term

    Fuzzy c-means for data with tolerance by introducing penalty term by Kanzawa, Y., Endo, Y., Miyamoto, S.

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  15. 15
    Fuzzy classification function of fuzzy c-means algorithms for data with tolerance

    Fuzzy classification function of fuzzy c-means algorithms for data with tolerance by Kanzawa, Y., Endo, Y., Miyamoto, S.

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  16. 16
    Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions

    Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions by Kanzawa, Y., Endo, Y., Miyamoto, S.

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