Keigo Kimura

36 papers A* 2A 2B 5C 2Misc 2Journal 10Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-view multi-label personalized classification via generalized exclusive sparse tensor factorization.
Knowl. Inf. Syst.
Luhuan Fei, Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura
2024 — conf
Fall Detection by Ambient Sensors on Years-Long Simulation Data.
ABC
Kai Tanaka, Mineichi Kudo, Keigo Kimura
2024 J jnl
Long-term Detection System for Six Kinds of Abnormal Behavior of the Elderly Living Alone.
CoRR
Kai Tanaka, Mineichi Kudo, Keigo Kimura, Atsuyoshi Nakamura
2024 — conf
R-LIME: Rectangular Constraints and Optimization for Local Interpretable Model-agnostic Explanation Methods.
ICPR (15)
Genji Ohara, Keigo Kimura, Mineichi Kudo
2024 J jnl
Redirected transfer learning for robust multi-layer subspace learning.
Pattern Anal. Appl.
Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
2024 J jnl
Robust embedding regression for semi-supervised learning.
Pattern Recognit.
Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
2024 J jnl
Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone.
IEEE Internet Things J.
Kai Tanaka, Mineichi Kudo, Keigo Kimura
2023 C conf
Cross-Referencing Scheme to Ensure NFT and Platform Linkage Unaffected by Forking.
ICBC
Keigo Kimura, Mitsuyoshi Imamura, Kazumasa Omote
2023 — conf
Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels.
PRICAI (2)
Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura
2023 A* conf
Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization.
ICDM
Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura
2023 — conf
Partial Multi-label Learning with a Few Accurately Labeled Data.
PRICAI (2)
Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun
2023 J jnl
Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone.
CoRR
Kai Tanaka, Mineichi Kudo, Keigo Kimura
2023 A conf
Structured Sparse Multi-Task Learning with Generalized Group Lasso.
ECAI
Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura
2022 — conf
A Distributed Authenticity Verification Scheme Using Deep Learning for NFT Market.
ICBTA
Keigo Kimura, Mitsuyoshi Imamura, Kazumasa Omote
2022 — conf
Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings.
S+SSPR
Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun
2022 J jnl
Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data.
Pattern Recognit.
Mariko Tai, Mineichi Kudo, Akira Tanaka, Hideyuki Imai, Keigo Kimura
2022 — conf
Realization of Autoencoders by Kernel Methods.
S+SSPR
Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun
2022 — conf
Retargeted Regression Methods for Multi-label Learning.
S+SSPR
Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun
2022 B conf
Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone.
ICPR
Kai Tanaka, Mineichi Kudo, Keigo Kimura
2021 — conf
Risk Analysis for Abusing Blockchain Poisoning.
BRAINS
Keigo Kimura, Kazumasa Omote
2019 — conf
Data Transfer Methods for Information-Centric Networking-Based Wireless Sensor Network Platform.
ICOIN
Keigo Kimura, Kandai Mochizuki, Masafumi Koike, Osamu Mizuno
2017 J jnl
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification.
CoRR
Keigo Kimura, Lu Sun, Mineichi Kudo
2017 J jnl
READER: Robust Semi-Supervised Multi-Label Dimension Reduction.
IEICE Trans. Inf. Syst.
Lu Sun, Mineichi Kudo, Keigo Kimura
2016 A conf
A Scalable Clustering-Based Local Multi-Label Classification Method.
ECAI
Lu Sun, Mineichi Kudo, Keigo Kimura
2016 J jnl
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint.
Mach. Learn.
Keigo Kimura, Mineichi Kudo, Yuzuru Tanaka
2016 B conf
Fast random k-labELsets for large-scale multi-label classification.
ICPR
Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku
2016 B conf
Locality in multi-label classification problems.
ICPR
Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura
2016 B conf
Multi-label classification with meta-label-specific features.
ICPR
Lu Sun, Mineichi Kudo, Keigo Kimura
2016 — conf
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification.
S+SSPR
Keigo Kimura, Mineichi Kudo, Lu Sun
2016 B conf
Simultaneous visualization of samples, features and multi-labels.
ICPR
Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto
2015 A* conf
Variable Selection for Efficient Nonnegative Tensor Factorization.
ICDM
Keigo Kimura, Mineichi Kudo
2014 C conf
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization.
ACML
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo
2011 Misc conf
Non-negative Matrix Factorization with sparse features.
GrC
Keigo Kimura, Tetsuya Yoshida
2011 Misc conf
Topic graph based transfer learning via generalized KL divergence based NMF.
GrC
Keigo Kimura, Tetsuya Yoshida
2008 — conf
High-resolution DPWM generator for digitally controlled DC-DC converters.
APCCAS
Ibuki Mori, Keigo Kimura, Yoshihisa Yamada, Haruo Kobayashi, Yasunori Kobori, Santhos Ario Wibowo, Kazuya Shimizu, Masashi Kono, Hao San
2006 — conf
Panel-Sized TFT-LCD Column Driver.
ISSCC
O. Ishibashi, M. Iriguchi, Keigo Kimura, J. Ishii, D. Sasaki, Hideyuki Imai, H. Tsuchi, Hiroshi Hayama