Kazuyoshi Yata

13 papers B 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic sparse estimation of the high-dimensional cross-covariance matrix.
J. Multivar. Anal.
Tetsuya Umino, Kazuyoshi Yata, Makoto Aoshima
2025 B conf
Asymptotic Properties of Kernel K-means and Its Comparison with Conventional K-means in High-Dimensional Settings.
KES
Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
2024 J jnl
Asymptotic properties of hierarchical clustering in high-dimensional settings.
J. Multivar. Anal.
Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
2024 B conf
Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data.
IEEE Big Data
Hiroki Hasegawa, Kazuyoshi Yata, Yukihiko Okada, Jun Kunimatsu
2022 J jnl
Consistency of the objective general index in high-dimensional settings.
J. Multivar. Anal.
Takuma Bando, Tomonari Sei, Kazuyoshi Yata
2022 J jnl
Geometric classifiers for high-dimensional noisy data.
J. Multivar. Anal.
Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
2021 J jnl
Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings.
J. Multivar. Anal.
Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima
2017 J jnl
Support vector machine and its bias correction in high-dimension, low-sample-size settings.
CoRR
Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima
2016 J jnl
High-dimensional inference on covariance structures via the extended cross-data-matrix methodology.
J. Multivar. Anal.
Kazuyoshi Yata, Makoto Aoshima
2013 J jnl
Correlation tests for high-dimensional data using extended cross-data-matrix methodology.
J. Multivar. Anal.
Kazuyoshi Yata, Makoto Aoshima
2013 J jnl
PCA consistency for the power spiked model in high-dimensional settings.
J. Multivar. Anal.
Kazuyoshi Yata, Makoto Aoshima
2012 J jnl
Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations.
J. Multivar. Anal.
Kazuyoshi Yata, Makoto Aoshima
2010 J jnl
Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix.
J. Multivar. Anal.
Kazuyoshi Yata, Makoto Aoshima