Yoshikazu Terada

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 8

Top Topics

Dimensional Data

Discriminative Features

Hierarchical Clustering

Scale Invariance

Top Venues

Pattern Recognit.

Publications

Xin Guan, Yoshikazu Terada
-means for high-dimensional data. Pattern Recognit. 144 (2023)
Daniel J. W. Touw, Patrick J. F. Groenen, Yoshikazu Terada
Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering. CoRR (2022)
Bingyuan Zhang, Jie Chen, Yoshikazu Terada
Dynamic visualization for L1 fusion convex clustering in near-linear time. UAI (2021)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. AISTATS (2020)
Yoshikazu Terada, Ryoma Hirose
Fast generalization error bound of deep learning without scale invariance of activation functions. Neural Networks 129 (2020)
Yoshikazu Terada, Ryoma Hirose
Fast generalization error bound of deep learning without scale invariance of activation functions. CoRR (2019)
Yoshikazu Terada, Michio Yamamoto
Kernel Normalized Cut: a Theoretical Revisit. ICML (2019)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. CoRR (2019)
Michio Yamamoto, Yoshikazu Terada
Functional factorial K-means analysis. Comput. Stat. Data Anal. 79 (2014)
Yoshikazu Terada, Ulrike von Luxburg
Local Ordinal Embedding. ICML (2014)
Yoshikazu Terada
Clustering for high-dimension, low-sample size data using distance vectors. CoRR (2013)
Yoshikazu Terada, Hiroshi Yadohisa
Multidimensional scaling with the nested hypersphere model for percentile dissimilarities. Complex Adaptive Systems (2011)