Mineichi Kudo

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 48

Top Venues

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)
Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo
Grouped Multi-Task Learning with Hidden Tasks Enhancement. ECAI (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)
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)
Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. CoRR (2022)
Kai Tanaka, Mineichi Kudo, Keigo Kimura
Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone. ICPR (2022)
Kejing Lu, Mineichi Kudo
-Approximate Maximum Inner Product Search Problem. IEICE Trans. Inf. Syst. (1) (2021)
Shuhei Aoki, Mineichi Kudo
Balancing of Samples in Class Hierarchy. IWAIPR (2021)
Tomoya Horio, Mineichi Kudo
Feature Selection with Class Hierarchy for Imbalance Problems. IWAIPR (2021)
Yasuyuki Kaneko, Mineichi Kudo
SVM Based EVM for Open Space Problems. IWAIPR (2021)
Kejing Lu, Mineichi Kudo, Chuan Xiao, Yoshiharu Ishikawa
HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search. Proc. VLDB Endow. 15 (2) (2021)
Kejing Lu, Mineichi Kudo
MLSH: Mixed Hash Function Family for Approximate Nearest Neighbor Search in Multiple Fractional Metrics. DASFAA (2) (2021)
Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo
Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. ACML (2020)
Kejing Lu, Mineichi Kudo
R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. ICDE (2020)
Kejing Lu, Hongya Wang, Wei Wang, Mineichi Kudo
VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning. Proc. VLDB Endow. 13 (9) (2020)
Lu Sun, Mineichi Kudo
Multi-label classification by polytree-augmented classifier chains with label-dependent features. Pattern Anal. Appl. 22 (3) (2019)
Mariko Tai, Mineichi Kudo
A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. CIARP (2019)
Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
UCB-SC: A Fast Variant of KL-UCB-SC for Budgeted Multi-Armed Bandit Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2018)
Lu Sun, Mineichi Kudo
Optimization of classifier chains via conditional likelihood maximization. Pattern Recognit. 74 (2018)
Keigo Kimura, Lu Sun, Mineichi Kudo
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR (2017)
Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. IEICE Trans. Inf. Syst. (5) (2017)
Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2017)
Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
KL-UCB-Based Policy for Budgeted Multi-Armed Bandits with Stochastic Action Costs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2017)
Lu Sun, Mineichi Kudo, Keigo Kimura
READER: Robust Semi-Supervised Multi-Label Dimension Reduction. IEICE Trans. Inf. Syst. (10) (2017)
Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
On Practical Accuracy of Edit Distance Approximation Algorithms. CoRR (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)
Sadamori Koujaku, Ichigaku Takigawa, Mineichi Kudo, Hideyuki Imai
Dense core model for cohesive subgraph discovery. Soc. Networks 44 (2016)
Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura
Locality in multi-label classification problems. ICPR (2016)
Shunsuke Suzuki, Mineichi Kudo, Atsuyoshi Nakamura
Sitting posture diagnosis using a pressure sensor mat. ISBA (2016)
Hideaki Konno, Mineichi Kudo, Hideyuki Imai, Masanori Sugimoto
Whisper to normal speech conversion using pitch estimated from spectrum. Speech Commun. 83 (2016)
Keigo Kimura, Mineichi Kudo, Lu Sun
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. S+SSPR (2016)
Atsuyoshi Nakamura, Ichigaku Takigawa, Hisashi Tosaka, Mineichi Kudo, Hiroshi Mamitsuka
Mining approximate patterns with frequent locally optimal occurrences. Discret. Appl. Math. 200 (2016)
Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. ICANN (1) (2016)
Guoliang Lu, Yiqi Zhou, Xueyong Li, Mineichi Kudo
Efficient action recognition via local position offset of 3D skeletal body joints. Multim. Tools Appl. 75 (6) (2016)
Syota Suzuuchi, Mineichi Kudo
Location-associated indoor behavior analysis of multiple persons. ICPR (2016)
Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. ICONIP (4) (2016)
Ryo Watanabe, Atsuyoshi Nakamura, Mineichi Kudo
An improved upper bound on the expected regret of UCB-type policies for a matching-selection bandit problem. Oper. Res. Lett. 43 (6) (2015)
Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. Discovery Science (2015)
Xavier Lladó, Atsushi Imiya, David Mason, Constantino Carlos Reyes-Aldasoro, Kazuaki Aoki, Mineichi Kudo, Yu-Jin Zhang, Vasileios Argyriou
Corrigendum to 'Homage to Professor Maria Petrou' [ Pattern Recognition Letters 48 (2014) 2-7]. Pattern Recognit. Lett. 54 (2015)
Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai
Community Change Detection in Dynamic Networks in Noisy Environment. WWW (Companion Volume) (2015)
Ayako Mikami, Mineichi Kudo, Atsuyoshi Nakamura
Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble. MCS (2015)
Shuai Tao, Mineichi Kudo, Bingnan Pei, Hidetoshi Nonaka, Jun Toyama
Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network. IEEE Trans. Hum. Mach. Syst. 45 (5) (2015)
Akira Tanaka, Hirofumi Takebayashi, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
Ensemble and Multiple Kernel Regressors: Which Is Better? IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2015)
Keigo Kimura, Mineichi Kudo
Variable Selection for Efficient Nonnegative Tensor Factorization. ICDM (2015)
Michal Haindl, Stanislav Mikes, Mineichi Kudo
Unsupervised Surface Reflectance Field Multi-segmenter. CAIP (1) (2015)
Lu Sun, Mineichi Kudo
Polytree-Augmented Classifier Chains for Multi-Label Classification. IJCAI (2015)
Kenshiro Nishikawa, Mineichi Kudo
Group Sleepiness Measurement in Classroom. AMMDS (2014)
Guoliang Lu, Mineichi Kudo
Learning action patterns in difference images for efficient action recognition. Neurocomputing 123 (2014)
Tomomi Endo, Kazuhiro Omura, Mineichi Kudo
Analysis of Relationship between RéNyi Entropy and Marginal Bayes error and its Application to Weighted naïVE Bayes Classifiers. Int. J. Pattern Recognit. Artif. Intell. 28 (7) (2014)
Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
Average-case linear-time similar substring searching by the q-gram distance. Theor. Comput. Sci. 530 (2014)
Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo
Privacy Preserving Multi-target Tracking. ACCV Workshops (3) (2014)
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. ACML (2014)
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
Theoretical Analyses on Ensemble and Multiple Kernel Regressors. ACML (2014)
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
Analyses on Generalization Error of Ensemble Kernel Regressors. S+SSPR (2014)
Hideaki Konno, Rinako Sato, Hideyuki Imai, Mineichi Kudo
Deterioration of intelligibility in whispered Japanese speech. APSIPA (2014)
Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
An efficient construction and application usefulness of rectangle greedy covers. Pattern Recognit. 47 (3) (2014)
Hiroshi Tsukioka, Mineichi Kudo
Selection of Features in Accord with Population Drift. ICPR (2014)
Tomomi Endo, Mineichi Kudo
Weighted Naïve Bayes Classifiers by Renyi Entropy. CIARP (1) (2013)
Hideaki Konno, Hideo Kanemitsu, Nobuyuki Takahashi, Mineichi Kudo
Acoustic characteristics related to the perceptual pitch in whispered vowels. ASRU (2013)
Guoliang Lu, Mineichi Kudo
Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition. IEICE Trans. Inf. Syst. (5) (2013)
Yingmei Piao, Mineichi Kudo
How Do Facial Expressions Contribute to Age Prediction? ACPR (2013)
Guoliang Lu, Mineichi Kudo, Jun Toyama
Temporal segmentation and assignment of successive actions in a long-term video. Pattern Recognit. Lett. 34 (15) (2013)
Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Mineichi Kudo, Hiroshi Mamitsuka
Fast algorithms for finding a minimum repetition representation of strings and trees. Discret. Appl. Math. 161 (10-11) (2013)
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka
Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network. Sensors 12 (12) (2012)
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR (2012)
Guoliang Lu, Mineichi Kudo, Jun Toyama
Action recognition via sparse representation of characteristic frames. ICPR (2012)
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
Camera view usage of binary infrared sensors for activity recognition. ICPR (2012)
Shen Pan, Mineichi Kudo
Recognition of Wood Porosity Based on Direction Insensitive Feature Sets. Trans. Mach. Learn. Data Min. 5 (1) (2012)
Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
Fast Approximation Algorithm for the 1-Median Problem. Discovery Science (2012)
Atsuyoshi Nakamura, Hisashi Tosaka, Mineichi Kudo
Frequent Approximate Substring Pattern Mining Using Locally Optimal Occurrence Counting. IIAI-AAI (2012)
Kazuhiro Omura, Mineichi Kudo, Tomomi Endo, Tetsuya Murai
Weighted naïve Bayes classifier on categorical features. ISDA (2012)
Guoliang Lu, Mineichi Kudo, Jun Toyama
Selection of Characteristic Frames in Video for Efficient Action Recognition. IEICE Trans. Inf. Syst. (10) (2012)
Hironobu Yasuda, Mineichi Kudo
Speech rate change detection in martingale framework. ISDA (2012)
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network. GrC (2011)
Guoliang Lu, Mineichi Kudo, Jun Toyama
Robust human pose estimation from corrupted images with partial occlusions and noise pollutions. GrC (2011)
Hisataka Nakane, Jun Toyama, Mineichi Kudo
Fatigue detection using a pressure sensor chair. GrC (2011)
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. CAIP (2) (2011)
Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
Efficient construction and usefulness of hyper-rectangle greedy covers. GrC (2011)
Hidetoshi Nonaka, Shuai Tao, Jun Toyama, Mineichi Kudo
Ceiling Sensor Network for Soft Authentication and Person Tracking using Equilibrium Line. PECCS (2011)
Kazuhiro Omura, Kazuaki Aoki, Mineichi Kudo
Attribute value reduction for gaining simpler rules. GrC (2011)
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network. AmI Workshops (2011)
Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura
Construction of convex hull classifiers in high dimensions. Pattern Recognit. Lett. 32 (16) (2011)
Atsuyoshi Nakamura, Mineichi Kudo
Packing Alignment: Alignment for Sequences of Various Length Events. PAKDD (2) (2011)
Shen Pan, Mineichi Kudo
Recognition of Porosity in Wood Microscopic Anatomical Images. ICDM (2011)
Guoliang Lu, Mineichi Kudo, Jun Toyama
Hierarchical Foreground Detection in Dynamic Background. CAIP (2) (2011)
Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo
A practical comparison of edit distance approximation algorithms. GrC (2011)
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
Theoretical analyses on a class of nested RKHS's. ICASSP (2011)
Kazuki Tsuji, Mineichi Kudo, Akira Tanaka
Localized Projection Learning. SSPR/SPR (2010)

Mineichi Kudo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mineichi Kudo