Yoshikazu Terada

16 papers A* 2A 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrigendum to "Sparse kernel k -means for high-dimensional data" Pattern Recognition 144 (2023) 109873. Pattern Recognit. Xin Guan, Yoshikazu Terada
2025	J	`jnl`	A note on the $k$-means clustering for missing data. Trans. Mach. Learn. Res. Yoshikazu Terada, Xin Guan
2025	J	`jnl`	Tree-Guided L CoRR Bingyuan Zhang, Yoshikazu Terada
2024	J	`jnl`	Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation. Mach. Learn. Sci. Technol. Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi
2023	J	`jnl`	Sparse kernel Pattern Recognit. Xin Guan, Yoshikazu Terada
2022	J	`jnl`	Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering. CoRR Daniel J. W. Touw, Patrick J. F. Groenen, Yoshikazu Terada
2021	A	`conf`	Dynamic visualization for L1 fusion convex clustering in near-linear time. UAI Bingyuan Zhang, Jie Chen, Yoshikazu Terada
2020	J	`jnl`	Fast generalization error bound of deep learning without scale invariance of activation functions. Neural Networks Yoshikazu Terada, Ryoma Hirose
2020	A	`conf`	More Powerful Selective Kernel Tests for Feature Selection. AISTATS Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2019	J	`jnl`	Fast generalization error bound of deep learning without scale invariance of activation functions. CoRR Yoshikazu Terada, Ryoma Hirose
2019	A*	`conf`	Kernel Normalized Cut: a Theoretical Revisit. ICML Yoshikazu Terada, Michio Yamamoto
2019	J	`jnl`	More Powerful Selective Kernel Tests for Feature Selection. CoRR Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2014	J	`jnl`	Functional factorial K-means analysis. Comput. Stat. Data Anal. Michio Yamamoto, Yoshikazu Terada
2014	A*	`conf`	Local Ordinal Embedding. ICML Yoshikazu Terada, Ulrike von Luxburg
2013	J	`jnl`	Clustering for high-dimension, low-sample size data using distance vectors. CoRR Yoshikazu Terada
2011	—	`conf`	Multidimensional scaling with the nested hypersphere model for percentile dissimilarities. Complex Adaptive Systems Yoshikazu Terada, Hiroshi Yadohisa