Makoto Aoshima

12 papers B 1Journal 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
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
2009 J jnl
Optimal discriminant functions for normal populations.
J. Multivar. Anal.
Hirofumi Wakaki, Makoto Aoshima
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski