Mineichi Kudo

Mineichi Kudo

Hokkaido University

H-index: 26

Asia-Japan

About Mineichi Kudo

Mineichi Kudo, With an exceptional h-index of 26 and a recent h-index of 15 (since 2020), a distinguished researcher at Hokkaido University, specializes in the field of Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Redirected transfer learning for robust multi-layer subspace learning

Multi-View Multi-Label Personalized Classification via Generalized Exclusive Sparse Tensor Factorization

Robust embedding regression for semi-supervised learning

Partial Multi-label Learning with a Few Accurately Labeled Data

Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels

Structured Sparse Multi-Task Learning with Generalized Group Lasso

Grouped Multi-Task Learning with Hidden Tasks Enhancement

Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone

Mineichi Kudo Information

University

Position

Professor of Computer Science

Citations(all)

3788

Citations(since 2020)

996

Cited By

3233

hIndex(all)

26

hIndex(since 2020)

15

i10Index(all)

67

i10Index(since 2020)

24

Email

University Profile Page

Hokkaido University

Google Scholar

View Google Scholar Profile

Mineichi Kudo Skills & Research Interests

Pattern Recognition

Top articles of Mineichi Kudo

Title

Journal

Author(s)

Publication Date

Redirected transfer learning for robust multi-layer subspace learning

Pattern Analysis and Applications

Jiaqi Bao

Mineichi Kudo

Keigo Kimura

Lu Sun

2024/3

Multi-View Multi-Label Personalized Classification via Generalized Exclusive Sparse Tensor Factorization

Luhuan Fei

Weijia Lin

Jiankun Wang

Lu Sun

Mineichi Kudo

...

2024/1/1

Robust embedding regression for semi-supervised learning

Pattern Recognition

Jiaqi Bao

Mineichi Kudo

Keigo Kimura

Lu Sun

2024/1/1

Partial Multi-label Learning with a Few Accurately Labeled Data

Haruhi Mizuguchi

Keigo Kimura

Mineichi Kudo

Lu Sun

2023/11/10

Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels

Zhiwei Li

Zijian Yang

Lu Sun

Mineichi Kudo

Keigo Kimura

2023/11/10

Structured Sparse Multi-Task Learning with Generalized Group Lasso

Luhuan Fei

Lu Sun

Mineichi Kudo

Keigo Kimura

2023/9/28

Grouped Multi-Task Learning with Hidden Tasks Enhancement

Jiachun Jin

Jiankun Wang

Lu Sun

Jie Zheng

Mineichi Kudo

2023

Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone

arXiv preprint arXiv:2312.16852

Kai Tanaka

Mineichi Kudo

Keigo Kimura

2023/12/28

Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization

Weijia Lin

Jiankun Wang

Lu Sun

Mineichi Kudo

Keigo Kimura

2023/12/1

Realization of Autoencoders by Kernel Methods

Shumpei Morishita

Mineichi Kudo

Keigo Kimura

Lu Sun

2022/8/26

Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings

Mineichi Kudo

Keigo Kimura

Shumpei Morishita

Lu Sun

2022/8/26

Sensor data simulation with wandering behavior for the elderly living alone

Kai Tanaka

Mineichi Kudo

Keigo Kimura

2022/8/21

Kernelized supervised laplacian eigenmap for visualization and classification of multi-label data

Pattern Recognition

Mariko Tai

Mineichi Kudo

Akira Tanaka

Hideyuki Imai

Keigo Kimura

2022/3/1

Retargeted Regression Methods for Multi-label Learning

Keigo Kimura

Jiaqi Bao

Mineichi Kudo

Lu Sun

2022/8/26

CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels

arXiv preprint arXiv:2201.01079

Zhiwei Li

Lu Sun

Mineichi Kudo

Kego Kimura

2022/1/4

HVS: hierarchical graph structure based on voronoi diagrams for solving approximate nearest neighbor search

Proceedings of the VLDB Endowment

Kejing Lu

Mineichi Kudo

Chuan Xiao

Yoshiharu Ishikawa

2021/10/1

SVM Based EVM for Open Space Problems

Yasuyuki Kaneko

Mineichi Kudo

2021

Balancing of samples in class hierarchy

Shuhei Aoki

Mineichi Kudo

2021

Feature selection with class hierarchy for imbalance problems

Tomoya Horio

Mineichi Kudo

2021

AdaLSH: Adaptive LSH for Solving c-Approximate Maximum Inner Product Search Problem

IEICE TRANSACTIONS on Information and Systems

Kejing Lu

Mineichi Kudo

2021/1/1

See List of Professors in Mineichi Kudo University(Hokkaido University)

Co-Authors

H-index: 25
Pavel Pudil

Pavel Pudil

Vysoká škola ekonomická v Praze

H-index: 15
Atsuyoshi Nakamura

Atsuyoshi Nakamura

Hokkaido University

H-index: 12
Sadamori Kojaku

Sadamori Kojaku

Indiana University Bloomington

H-index: 8
Lu SUN

Lu SUN

Shanghai Tech University

academic-engine