Yoshikazu Terada

According to our database, Yoshikazu Terada authored at least 10 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sparse kernel <i>k</i>-means for high-dimensional data.

Xin Guan, Yoshikazu Terada

Pattern Recognit., December, 2023

2022

Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering.

Daniel J. W. Touw, Patrick J. F. Groenen, Yoshikazu Terada

CoRR, 2022

2021

Dynamic visualization for L1 fusion convex clustering in near-linear time.

Bingyuan Zhang, Jie Chen, Yoshikazu Terada

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Fast generalization error bound of deep learning without scale invariance of activation functions.

Yoshikazu Terada, Ryoma Hirose

Neural Networks, 2020

More Powerful Selective Kernel Tests for Feature Selection.

Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Kernel Normalized Cut: a Theoretical Revisit.

Yoshikazu Terada, Michio Yamamoto

Proceedings of the 36th International Conference on Machine Learning, 2019

2014

Functional factorial K-means analysis.

Michio Yamamoto, Yoshikazu Terada

Comput. Stat. Data Anal., 2014

Local Ordinal Embedding.

Yoshikazu Terada, Ulrike von Luxburg

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Clustering for high-dimension, low-sample size data using distance vectors.

Yoshikazu Terada

CoRR, 2013

2011

Multidimensional scaling with the nested hypersphere model for percentile dissimilarities.

Yoshikazu Terada, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011