Mineichi Kudo - RankMe

206 papers A* 7A 3B 33C 9Misc 8Journal 70Unranked 74

Year	Rank	Type	Title / 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	A	`conf`	Grouped Multi-Task Learning with Hidden Tasks Enhancement. ECAI Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo
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	J	`jnl`	CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. CoRR Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura
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	J	`jnl`	AdaLSH: Adaptive LSH for Solving IEICE Trans. Inf. Syst. Kejing Lu, Mineichi Kudo
2021	—	`conf`	Balancing of Samples in Class Hierarchy. IWAIPR Shuhei Aoki, Mineichi Kudo
2021	—	`conf`	Feature Selection with Class Hierarchy for Imbalance Problems. IWAIPR Tomoya Horio, Mineichi Kudo
2021	J	`jnl`	HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search. Proc. VLDB Endow. Kejing Lu, Mineichi Kudo, Chuan Xiao, Yoshiharu Ishikawa
2021	—	`conf`	MLSH: Mixed Hash Function Family for Approximate Nearest Neighbor Search in Multiple Fractional Metrics. DASFAA (2) Kejing Lu, Mineichi Kudo
2021	—	`conf`	SVM Based EVM for Open Space Problems. IWAIPR Yasuyuki Kaneko, Mineichi Kudo
2020	C	`conf`	Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. ACML Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo
2020	A*	`conf`	R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. ICDE Kejing Lu, Mineichi Kudo
2020	J	`jnl`	VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning. Proc. VLDB Endow. Kejing Lu, Hongya Wang, Wei Wang, Mineichi Kudo
2019	C	`conf`	A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. CIARP Mariko Tai, Mineichi Kudo
2019	J	`jnl`	Multi-label classification by polytree-augmented classifier chains with label-dependent features. Pattern Anal. Appl. Lu Sun, Mineichi Kudo
2018	J	`jnl`	Optimization of classifier chains via conditional likelihood maximization. Pattern Recognit. Lu Sun, Mineichi Kudo
2018	J	`jnl`	UCB-SC: A Fast Variant of KL-UCB-SC for Budgeted Multi-Armed Bandit Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. IEICE Trans. Inf. Syst. Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
2017	J	`jnl`	KL-UCB-Based Policy for Budgeted Multi-Armed Bandits with Stochastic Action Costs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR Keigo Kimura, Lu Sun, Mineichi Kudo
2017	J	`jnl`	On Practical Accuracy of Edit Distance Approximation Algorithms. CoRR Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
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	J	`jnl`	Dense core model for cohesive subgraph discovery. Soc. Networks Sadamori Koujaku, Ichigaku Takigawa, Mineichi Kudo, Hideyuki Imai
2016	J	`jnl`	Efficient action recognition via local position offset of 3D skeletal body joints. Multim. Tools Appl. Guoliang Lu, Yiqi Zhou, Xueyong Li, Mineichi Kudo
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`	Location-associated indoor behavior analysis of multiple persons. ICPR Syota Suzuuchi, Mineichi Kudo
2016	J	`jnl`	Mining approximate patterns with frequent locally optimal occurrences. Discret. Appl. Math. Atsuyoshi Nakamura, Ichigaku Takigawa, Hisashi Tosaka, Mineichi Kudo, Hiroshi Mamitsuka
2016	B	`conf`	Multi-label classification with meta-label-specific features. ICPR Lu Sun, Mineichi Kudo, Keigo Kimura
2016	—	`conf`	Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. ICONIP (4) Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
2016	—	`conf`	Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. ICANN (1) Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto
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
2016	—	`conf`	Sitting posture diagnosis using a pressure sensor mat. ISBA Shunsuke Suzuki, Mineichi Kudo, Atsuyoshi Nakamura
2016	J	`jnl`	Whisper to normal speech conversion using pitch estimated from spectrum. Speech Commun. Hideaki Konno, Mineichi Kudo, Hideyuki Imai, Masanori Sugimoto
2015	B	`conf`	An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. Discovery Science Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2015	J	`jnl`	An improved upper bound on the expected regret of UCB-type policies for a matching-selection bandit problem. Oper. Res. Lett. Ryo Watanabe, Atsuyoshi Nakamura, Mineichi Kudo
2015	—	`conf`	Community Change Detection in Dynamic Networks in Noisy Environment. WWW (Companion Volume) Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai
2015	J	`jnl`	Corrigendum to 'Homage to Professor Maria Petrou' [ Pattern Recognition Letters 48 (2014) 2-7]. Pattern Recognit. Lett. Xavier Lladó, Atsushi Imiya, David Mason, Constantino Carlos Reyes-Aldasoro, Kazuaki Aoki, Mineichi Kudo, Yu-Jin Zhang, Vasileios Argyriou
2015	—	`conf`	Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble. MCS Ayako Mikami, Mineichi Kudo, Atsuyoshi Nakamura
2015	J	`jnl`	Ensemble and Multiple Kernel Regressors: Which Is Better? IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Akira Tanaka, Hirofumi Takebayashi, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
2015	J	`jnl`	Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network. IEEE Trans. Hum. Mach. Syst. Shuai Tao, Mineichi Kudo, Bingnan Pei, Hidetoshi Nonaka, Jun Toyama
2015	A*	`conf`	Polytree-Augmented Classifier Chains for Multi-Label Classification. IJCAI Lu Sun, Mineichi Kudo
2015	—	`conf`	Unsupervised Surface Reflectance Field Multi-segmenter. CAIP (1) Michal Haindl, Stanislav Mikes, Mineichi Kudo
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
2014	J	`jnl`	An efficient construction and application usefulness of rectangle greedy covers. Pattern Recognit. Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
2014	—	`conf`	Analyses on Generalization Error of Ensemble Kernel Regressors. S+SSPR Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
2014	J	`jnl`	Analysis of Relationship between RéNyi Entropy and Marginal Bayes error and its Application to Weighted naïVE Bayes Classifiers. Int. J. Pattern Recognit. Artif. Intell. Tomomi Endo, Kazuhiro Omura, Mineichi Kudo
2014	J	`jnl`	Average-case linear-time similar substring searching by the q-gram distance. Theor. Comput. Sci. Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
2014	—	`conf`	Deterioration of intelligibility in whispered Japanese speech. APSIPA Hideaki Konno, Rinako Sato, Hideyuki Imai, Mineichi Kudo
2014	—	`conf`	Group Sleepiness Measurement in Classroom. AMMDS Kenshiro Nishikawa, Mineichi Kudo
2014	J	`jnl`	Learning action patterns in difference images for efficient action recognition. Neurocomputing Guoliang Lu, Mineichi Kudo
2014	—	`conf`	Privacy Preserving Multi-target Tracking. ACCV Workshops (3) Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo
2014	B	`conf`	Selection of Features in Accord with Population Drift. ICPR Hiroshi Tsukioka, Mineichi Kudo
2014	C	`conf`	Theoretical Analyses on Ensemble and Multiple Kernel Regressors. ACML Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
2013	C	`conf`	Acoustic characteristics related to the perceptual pitch in whispered vowels. ASRU Hideaki Konno, Hideo Kanemitsu, Nobuyuki Takahashi, Mineichi Kudo
2013	J	`jnl`	Fast algorithms for finding a minimum repetition representation of strings and trees. Discret. Appl. Math. Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Mineichi Kudo, Hiroshi Mamitsuka
2013	—	`conf`	How Do Facial Expressions Contribute to Age Prediction? ACPR Yingmei Piao, Mineichi Kudo
2013	J	`jnl`	Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition. IEICE Trans. Inf. Syst. Guoliang Lu, Mineichi Kudo
2013	J	`jnl`	Temporal segmentation and assignment of successive actions in a long-term video. Pattern Recognit. Lett. Guoliang Lu, Mineichi Kudo, Jun Toyama
2013	—	`conf`	Weighted Naïve Bayes Classifiers by Renyi Entropy. CIARP (1) Tomomi Endo, Mineichi Kudo
2012	B	`conf`	Action recognition via sparse representation of characteristic frames. ICPR Guoliang Lu, Mineichi Kudo, Jun Toyama
2012	B	`conf`	Camera view usage of binary infrared sensors for activity recognition. ICPR Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2012	—	`conf`	Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo
2012	B	`conf`	Fast Approximation Algorithm for the 1-Median Problem. Discovery Science Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2012	—	`conf`	Frequent Approximate Substring Pattern Mining Using Locally Optimal Occurrence Counting. IIAI-AAI Atsuyoshi Nakamura, Hisashi Tosaka, Mineichi Kudo
2012	J	`jnl`	Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network. Sensors Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka
2012	J	`jnl`	Recognition of Wood Porosity Based on Direction Insensitive Feature Sets. Trans. Mach. Learn. Data Min. Shen Pan, Mineichi Kudo
2012	J	`jnl`	Selection of Characteristic Frames in Video for Efficient Action Recognition. IEICE Trans. Inf. Syst. Guoliang Lu, Mineichi Kudo, Jun Toyama
2012	C	`conf`	Speech rate change detection in martingale framework. ISDA Hironobu Yasuda, Mineichi Kudo
2012	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings SSPR/SPR Georgy L. Gimel'farb, Edwin R. Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada
2012	C	`conf`	Weighted naïve Bayes classifier on categorical features. ISDA Kazuhiro Omura, Mineichi Kudo, Tomomi Endo, Tetsuya Murai
2011	Misc	`ed.`	2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011 GrC Tzung-Pei Hong, Yasuo Kudo, Mineichi Kudo, Tsau Young Lin, Been-Chian Chien, Shyue-Liang Wang, Masahiro Inuiguchi, Guilong Liu
2011	Misc	`conf`	A practical comparison of edit distance approximation algorithms. GrC Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo
2011	Misc	`conf`	Attribute value reduction for gaining simpler rules. GrC Kazuhiro Omura, Kazuaki Aoki, Mineichi Kudo
2011	—	`conf`	Ceiling Sensor Network for Soft Authentication and Person Tracking using Equilibrium Line. PECCS Hidetoshi Nonaka, Shuai Tao, Jun Toyama, Mineichi Kudo
2011	J	`jnl`	Construction of convex hull classifiers in high dimensions. Pattern Recognit. Lett. Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura
2011	Misc	`conf`	Efficient construction and usefulness of hyper-rectangle greedy covers. GrC Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
2011	Misc	`conf`	Fatigue detection using a pressure sensor chair. GrC Hisataka Nakane, Jun Toyama, Mineichi Kudo
2011	—	`conf`	Hierarchical Foreground Detection in Dynamic Background. CAIP (2) Guoliang Lu, Mineichi Kudo, Jun Toyama
2011	—	`conf`	Packing Alignment: Alignment for Sequences of Various Length Events. PAKDD (2) Atsuyoshi Nakamura, Mineichi Kudo
2011	—	`conf`	Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network. AmI Workshops Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2011	—	`conf`	Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. CAIP (2) Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2011	A*	`conf`	Recognition of Porosity in Wood Microscopic Anatomical Images. ICDM Shen Pan, Mineichi Kudo
2011	Misc	`conf`	Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network. GrC Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2011	Misc	`conf`	Robust human pose estimation from corrupted images with partial occlusions and noise pollutions. GrC Guoliang Lu, Mineichi Kudo, Jun Toyama
2011	Misc	`conf`	Theoretical analyses on a class of nested RKHS's. ICASSP Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2010	B	`conf`	A Relationship Between Generalization Error and Training Samples in Kernel Regressors. ICPR Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2010	—	`conf`	A top-down construction of class decision trees with selected features and classifiers. HPCS Kazuaki Aoki, Mineichi Kudo
2010	B	`conf`	Algorithms for Adversarial Bandit Problems with Multiple Plays. ALT Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo
2010	C	`conf`	Algorithms for Finding a Minimum Repetition Representation of a String. SPIRE Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo
2010	J	`jnl`	Data compression by volume prototypes for streaming data. Pattern Recognit. Kenji Tabata, Maiko Sato, Mineichi Kudo
2010	—	`conf`	Localized Projection Learning. SSPR/SPR Kazuki Tsuji, Mineichi Kudo, Akira Tanaka
2010	B	`conf`	Margin Preserved Approximate Convex Hulls for Classification. ICPR Tetsuji Takahashi, Mineichi Kudo
2010	J	`jnl`	Probably correct k-nearest neighbor search in high dimensions. Pattern Recognit. Jun Toyama, Mineichi Kudo, Hideyuki Imai
2009	—	`conf`	A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. KES (2) Mineichi Kudo, Jun Toyama, Hideyuki Imai
2009	C	`conf`	Classifier Selection in a Family of Polyhedron Classifiers. CIARP Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura
2009	—	`conf`	Clustering and Density Estimation for Streaming Data using Volume Prototypes. PRIS Maiko Sato, Mineichi Kudo, Jun Toyama
2009	—	`conf`	Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting. MCS Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura
2009	J	`jnl`	Convex sets as prototypes for classifying patterns. Eng. Appl. Artif. Intell. Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura
2009	J	`jnl`	Soft authentication and behavior analysis using a chair with sensors attached: hipprint authentication. Pattern Anal. Appl. Masafumi Yamada, Kazuhiro Kamiya, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2009	J	`jnl`	Soft authentication using an infrared ceiling sensor network. Pattern Anal. Appl. Taisuke Hosokawa, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2008	—	`conf`	Bagging, Random Subspace Method and Biding. SSPR/SPR Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura
2008	—	`conf`	Behavior Analysis of Volume Prototypes in High Dimensionality. SSPR/SPR Maiko Sato, Mineichi Kudo, Jun Toyama
2008	J	`jnl`	Classification Based on Consistent Itemset Rules. Trans. Mach. Learn. Data Min. Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2008	B	`conf`	Classification by bagged consistent itemset rules. ICPR Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2008	B	`conf`	Classification by reflective convex hulls. ICPR Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa
2008	J	`jnl`	Extended DNF Expression and Variable Granularity in Information Tables. IEEE Trans. Fuzzy Syst. Mineichi Kudo, Tetsuya Murai
2008	—	`conf`	Feature and Classifier Selection in Class Decision Trees. SSPR/SPR Kazuaki Aoki, Mineichi Kudo
2008	—	`conf`	Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2008	B	`conf`	Sitting posture analysis by pressure sensors. ICPR Kazuhiro Kamiya, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2008	—	`conf`	Soft Feature Selection by Using a Histogram-Based Classifier. SSPR/SPR Hiroshi Tenmoto, Mineichi Kudo
2008	A*	`conf`	What Sperner Family Concept Class is Easy to Be Enumerated? ICDM Atsuyoshi Nakamura, Mineichi Kudo
2007	—	`conf`	A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers. MCS Mineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto
2007	—	`conf`	CCIC: Consistent Common Itemsets Classifier. MLDM Yohji Shidara, Atsuyoshi Nakamura, Mineichi Kudo
2007	J	`jnl`	Integrated kernels and their properties. Pattern Recognit. Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2007	B	`conf`	Mining Subtrees with Frequent Occurrence of Similar Subtrees. Discovery Science Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo
2007	—	`conf`	Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules. RSKT Yuji Muto, Mineichi Kudo, Yohji Shidara
2006	J	`jnl`	Classifier-independent feature selection on the basis of divergence criterion. Pattern Anal. Appl. Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo
2006	—	`conf`	Hipprint Person Identification and Behavior Analys. ICPR (4) Masafumi Yamada, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama
2006	—	`conf`	Model Selection Using a Class of Kernels with an Invariant Metric. SSPR/SPR Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2006	J	`jnl`	Non-parametric classifier-independent feature selection. Pattern Recognit. Naoto Abe, Mineichi Kudo
2006	J	`jnl`	Reduction of Attribute Values for Kansei Representation. J. Adv. Comput. Intell. Intell. Informatics Yuji Muto, Mineichi Kudo, Tetsuya Murai
2005	—	`conf`	A Comparative Study of Algorithms for Finding Web Communities. ICDE Workshops Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	A New Treatment and Viewpoint of Information Tables. RSFDGrC (1) Mineichi Kudo, Tetsuya Murai
2005	—	`conf`	Density- and Complexity-Regularization in Gaussian Mixture Bayesian Classifier. WSTST Hiroshi Tenmoto, Mineichi Kudo
2005	J	`jnl`	Design of decision trees using class-dependent feature subsets. Syst. Comput. Jpn. Kazuaki Aoki, Toshiharu Watanabe, Mineichi Kudo
2005	—	`conf`	Discernibility-Based Variable Granularity and Kansei Representations. RSFDGrC (1) Yuji Muto, Mineichi Kudo
2005	—	`conf`	Empirical Study on Usefulness of Algorithm SACwRApper for Reputation Extraction from the WWW. KES (4) Hiroyuki Hasegawa, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	Entropy Criterion for Classifier-Independent Feature Selection. KES (4) Naoto Abe, Mineichi Kudo
2005	—	`ch.`	Extraction of Generalized Rules with Automated Attribute Abstraction. Foundations of Data Mining and knowledge Discovery Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	Finding and Auto-labeling of Task Groups on E-Mails and Documents. KES (4) Hiroshi Tenmoto, Mineichi Kudo
2005	B	`conf`	Mining Frequent Trees with Node-Inclusion Constraints. PAKDD Atsuyoshi Nakamura, Mineichi Kudo
2005	A*	`conf`	Partitioning of Web graphs by community topology. WWW Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	Person Recognition by Pressure Sensors. KES (4) Masafumi Yamada, Jun Toyama, Mineichi Kudo
2005	—	`conf`	Person Tracking with Infrared Sensors. KES (4) Taisuke Hosokawa, Mineichi Kudo
2005	—	`conf`	Specific-Purpose Web Searches on the Basis of Structure and Contents. Federation over the Web Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets. MLDM Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura
2004	—	`conf`	A Gaussian Mixture-Based Colour Texture Model. ICPR (3) Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo
2004	—	`conf`	A Nearest Neighbor Method Using Bisectors. SSPR/SPR Mineichi Kudo, Hideyuki Imai, Akira Tanaka, Tetsuya Murai
2004	—	`conf`	A Note on Ziarko's Variable Precision Rough Set Model and Nonmonotonic Reasoning. Rough Sets and Current Trends in Computing Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Mineichi Kudo
2004	B	`conf`	A note on fuzzy granular reasoning. FUZZ-IEEE Tetsuya Murai, Yasuo Kudo, Van-Nam Huynh, Akira Tanaka, Mineichi Kudo
2004	—	`conf`	Classifier-Independent Visualization of Supervised Data Structures Using a Graph. SSPR/SPR Hiroshi Tenmoto, Yasukuni Mori, Mineichi Kudo
2004	B	`conf`	Combination of Weak Evidences by D-S Theory for Person Recognition. KES Masafumi Yamada, Mineichi Kudo
2004	—	`conf`	On the Minimum l ICA Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura, Jun Toyama
2004	J	`jnl`	Performance analysis of minimum ℓ IEEE Trans. Signal Process. Ichigaku Takigawa, Mineichi Kudo, Jun Toyama
2004	B	`conf`	Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces. KES Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi
2003	B	`conf`	Collaborative Filtering Using Projective Restoration Operators. Discovery Science Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe
2003	—	`conf`	Collaborative Filtering Using Restoration Operators. PKDD Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka
2003	J	`jnl`	Simple termination conditions for k-nearest neighbor method. Pattern Recognit. Lett. Mineichi Kudo, Naoto Masuyama, Jun Toyama, Masaru Shimbo
2002	—	`conf`	Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis. SSPR/SPR Naoto Abe, Mineichi Kudo, Masaru Shimbo
2002	—	`conf`	Decision Tree Using Class-Dependent Feature Subsets. SSPR/SPR Kazuaki Aoki, Mineichi Kudo
2001	J	`jnl`	A two-channel coding of images using spline surfaces. Syst. Comput. Jpn. Yoshinori Yanagihara, Masanori Kawakami, Mineichi Kudo, Jun Toyama, Masaru Shimbo
2001	J	`jnl`	Fast Labelling of Natural Scenes Using Enhanced Knowledge. Pattern Anal. Appl. Hiroki Hayashi, Mineichi Kudo, Jun Toyama, Masaru Shimbo
2000	—	`conf`	A Divergence Criterion for Classifier-Independent Feature Selection. SSPR/SPR Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo
2000	B	`conf`	A Histogram-Based Classifier on Overlapped Bins. ICPR Mineichi Kudo, Hideyuki Imai, Masaru Shimbo
2000	—	`conf`	Comparison of Classifier-Specific Feature Selection Algorithms. SSPR/SPR Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky
2000	J	`jnl`	Comparison of algorithms that select features for pattern classifiers. Pattern Recognit. Mineichi Kudo, Jack Sklansky
2000	—	`conf`	Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers. SSPR/SPR Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1999	B	`conf`	Determination of the number of components based on class separability in mixture-based classifiers. KES Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1999	B	`conf`	Effective sampling points for two-channel spline image coding. KES Masanori Kawakami, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1999	B	`conf`	Estimation of velocity vectors from a video stream using discontinuity of optical flow. KES Hiroki Hayashi, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1999	B	`conf`	Geometry reconstruction of urban scenes by tracking vertical edges. KES Tomohiko Gotoh, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1999	J	`jnl`	Multidimensional curve classification using passing-through regions. Pattern Recognit. Lett. Mineichi Kudo, Jun Toyama, Masaru Shimbo
1999	B	`conf`	Tabu search for solving optimization problems on Hopfield neural networks. KES J. Konishi, S. Shimba, Jun Toyama, Mineichi Kudo, Masaru Shimbo
1999	B	`conf`	Termination conditions for a fast k-nearest neighbor method. KES Naoto Masuyama, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1998	J	`jnl`	A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers. Kybernetika Mineichi Kudo, Jack Sklansky
1998	B	`conf`	A subclass-based mixture model for pattern recognition. ICPR Mineichi Kudo, Hiroshi Tenmoto, Satoru Sumiyoshi, Masaru Shimbo
1998	—	`conf`	Appropriate initial component densities of mixture modeling for pattern recognition. KES (2) Mineichi Kudo, F. Taniguchi, Hiroshi Tenmoto, Masaru Shimbo
1998	J	`jnl`	Approximation of class regions by quasi convex hulls. Pattern Recognit. Lett. Mineichi Kudo, Yoichiro Torii, Yasukuni Mori, Masaru Shimbo
1998	—	`conf`	Classifier-Independent Feature Selection For Two-Stage Feature Selection. SSPR/SPR Mineichi Kudo, Jack Sklansky
1998	J	`jnl`	Construction of nonlinear discrimination function based on the MDL criterion. Kybernetika Manabu Sato, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1998	—	`conf`	Feature Selection For a Nonlinear Classifier. SSPR/SPR Maiko Sato, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1998	—	`conf`	MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification. SSPR/SPR Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998	J	`jnl`	Piecewise linear classifiers preserving high local recognition rates. Kybernetika Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998	J	`jnl`	Piecewise linear classifiers with an appropriate number of hyperplanes. Pattern Recognit. Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998	—	`conf`	Polynomial-sample learnability about distance-0 and 1 DNF formulas. KES (2) Shinichi Yanagi, Mineichi Kudo, Masaru Shimbo
1998	B	`conf`	Visualization of the structure of classes using a graph. ICPR Yasukuni Mori, Mineichi Kudo, Jun Toyama, Masaru Shimbo
1997	—	`conf`	Estimation of class regions in feature space using rough set theory. KES (2) F. Taniguchi, Mineichi Kudo, Masaru Shimbo
1996	J	`jnl`	Construction of class regions by a randomized algorithm: a randomized subclass method. Pattern Recognit. Mineichi Kudo, Shinichi Yanagi, Masaru Shimbo
1996	J	`jnl`	Realization of membership quiries in character recognition. Pattern Recognit. Lett. Mineichi Kudo, Koji Mizukami, Yuji Nakamura, Masaru Shimbo
1996	B	`conf`	Selection of classifiers based on the MDL principle using the VC dimension. ICPR Mineichi Kudo, Masaru Shimbo
1993	J	`jnl`	Feature selection based on the structural indices of categories. Pattern Recognit. Mineichi Kudo, Masaru Shimbo
1992	J	`jnl`	Analysis of context of 5'-splice site sequences in mammalian mRNA precursors by subclass method. Comput. Appl. Biosci. Mineichi Kudo, S. Kitamura-Abe, Masaru Shimbo, Y. Lida
1989	J	`jnl`	Optimal subclasses with dichotomous variables for feature selection and discrimination. IEEE Trans. Syst. Man Cybern. Mineichi Kudo, Masaru Shimbo
1988	J	`jnl`	Efficient regular grammatical inference techniques by the use of partial similarities and their logical relationships. Pattern Recognit. Mineichi Kudo, Masaru Shimbo
1987	J	`jnl`	Syntactic pattern analysis of 5'-splice site sequences of mRNA precursors in higher eukaryote genes. Comput. Appl. Biosci. Mineichi Kudo, Y. Iida, Masaru Shimbo