Keigo Kimura

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 25

Top Topics

Negative Matrix Factorization

Multi Label Classification

Alternating Least Squares

Top Venues

Pattern Recognit.

Publications

Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
Redirected transfer learning for robust multi-layer subspace learning. Pattern Anal. Appl. 27 (1) (2024)
Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
Robust embedding regression for semi-supervised learning. Pattern Recognit. 145 (2024)
Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura
Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels. PRICAI (2) (2023)
Kai Tanaka, Mineichi Kudo, Keigo Kimura
Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone. CoRR (2023)
Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura
Structured Sparse Multi-Task Learning with Generalized Group Lasso. ECAI (2023)
Keigo Kimura, Mitsuyoshi Imamura, Kazumasa Omote
Cross-Referencing Scheme to Ensure NFT and Platform Linkage Unaffected by Forking. ICBC (2023)
Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura
Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. ICDM (2023)
Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun
Partial Multi-label Learning with a Few Accurately Labeled Data. PRICAI (2) (2023)
Keigo Kimura, Mitsuyoshi Imamura, Kazumasa Omote
A Distributed Authenticity Verification Scheme Using Deep Learning for NFT Market. ICBTA (2022)
Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun
Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. S+SSPR (2022)
Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun
Realization of Autoencoders by Kernel Methods. S+SSPR (2022)
Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun
Retargeted Regression Methods for Multi-label Learning. S+SSPR (2022)
Mariko Tai, Mineichi Kudo, Akira Tanaka, Hideyuki Imai, Keigo Kimura
Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data. Pattern Recognit. 123 (2022)
Kai Tanaka, Mineichi Kudo, Keigo Kimura
Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone. ICPR (2022)
Keigo Kimura, Kazumasa Omote
Risk Analysis for Abusing Blockchain Poisoning. BRAINS (2021)
Keigo Kimura, Kandai Mochizuki, Masafumi Koike, Osamu Mizuno
Data Transfer Methods for Information-Centric Networking-Based Wireless Sensor Network Platform. ICOIN (2019)
Keigo Kimura, Lu Sun, Mineichi Kudo
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR (2017)
Lu Sun, Mineichi Kudo, Keigo Kimura
READER: Robust Semi-Supervised Multi-Label Dimension Reduction. IEICE Trans. Inf. Syst. (10) (2017)
Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto
Simultaneous visualization of samples, features and multi-labels. ICPR (2016)
Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku
Fast random k-labELsets for large-scale multi-label classification. ICPR (2016)
Lu Sun, Mineichi Kudo, Keigo Kimura
Multi-label classification with meta-label-specific features. ICPR (2016)
Lu Sun, Mineichi Kudo, Keigo Kimura
A Scalable Clustering-Based Local Multi-Label Classification Method. ECAI (2016)
Keigo Kimura, Mineichi Kudo, Yuzuru Tanaka
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint. Mach. Learn. 103 (2) (2016)
Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura
Locality in multi-label classification problems. ICPR (2016)
Keigo Kimura, Mineichi Kudo, Lu Sun
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. S+SSPR (2016)
Keigo Kimura, Mineichi Kudo
Variable Selection for Efficient Nonnegative Tensor Factorization. ICDM (2015)
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. ACML (2014)
Keigo Kimura, Tetsuya Yoshida
Non-negative Matrix Factorization with sparse features. GrC (2011)
Keigo Kimura, Tetsuya Yoshida
Topic graph based transfer learning via generalized KL divergence based NMF. GrC (2011)
Ibuki Mori, Keigo Kimura, Yoshihisa Yamada, Haruo Kobayashi, Yasunori Kobori, Santhos Ario Wibowo, Kazuya Shimizu, Masashi Kono, Hao San
High-resolution DPWM generator for digitally controlled DC-DC converters. APCCAS (2008)
O. Ishibashi, M. Iriguchi, Keigo Kimura, J. Ishii, D. Sasaki, Hideyuki Imai, H. Tsuchi, Hiroshi Hayama
Panel-Sized TFT-LCD Column Driver. ISSCC (2006)