Syntactic pattern analysis of 5'-splice site sequences of mRNA precursors in higher eukaryote genes. - Mineichi Kudo; Y. Iida; Masaru Shimbo (Comput. Appl. Biosci., 1987)

Efficient regular grammatical inference techniques by the use of partial similarities and their logical relationships. - Mineichi Kudo; Masaru Shimbo (Pattern Recognit., 1988)

Optimal subclasses with dichotomous variables for feature selection and discrimination. - Mineichi Kudo; Masaru Shimbo (IEEE Trans. Syst. Man Cybern., 1989)

Analysis of context of 5'-splice site sequences in mammalian mRNA precursors by subclass method. - Mineichi Kudo; S. Kitamura-Abe; Masaru Shimbo; Y. Lida (Comput. Appl. Biosci., 1992)

Feature selection based on the structural indices of categories. - Mineichi Kudo; Masaru Shimbo (Pattern Recognit., 1993)

Selection of classifiers based on the MDL principle using the VC dimension. - Mineichi Kudo; Masaru Shimbo (ICPR, 1996)

Construction of class regions by a randomized algorithm: a randomized subclass method. - Mineichi Kudo; Shinichi Yanagi; Masaru Shimbo (Pattern Recognit., 1996)

Realization of membership quiries in character recognition. - Mineichi Kudo; Koji Mizukami; Yuji Nakamura; Masaru Shimbo (Pattern Recognit. Lett., 1996)

Estimation of class regions in feature space using rough set theory. - F. Taniguchi; Mineichi Kudo; Masaru Shimbo (KES (2), 1997)

A subclass-based mixture model for pattern recognition. - Mineichi Kudo; Hiroshi Tenmoto; Satoru Sumiyoshi; Masaru Shimbo (ICPR, 1998)

Visualization of the structure of classes using a graph. - Yasukuni Mori; Mineichi Kudo; Jun Toyama; Masaru Shimbo (ICPR, 1998)

Appropriate initial component densities of mixture modeling for pattern recognition. - Mineichi Kudo; F. Taniguchi; Hiroshi Tenmoto; Masaru Shimbo (KES (2), 1998)

Polynomial-sample learnability about distance-0 and 1 DNF formulas. - Shinichi Yanagi; Mineichi Kudo; Masaru Shimbo (KES (2), 1998)

Classifier-Independent Feature Selection For Two-Stage Feature Selection. - Mineichi Kudo; Jack Sklansky (SSPR/SPR, 1998)

Feature Selection For a Nonlinear Classifier. - Maiko Sato; Mineichi Kudo; Jun Toyama; Masaru Shimbo (SSPR/SPR, 1998)

MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification. - Hiroshi Tenmoto; Mineichi Kudo; Masaru Shimbo (SSPR/SPR, 1998)

A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers. - Mineichi Kudo; Jack Sklansky (Kybernetika, 1998)

Construction of nonlinear discrimination function based on the MDL criterion. - Manabu Sato; Mineichi Kudo; Jun Toyama; Masaru Shimbo (Kybernetika, 1998)

Piecewise linear classifiers preserving high local recognition rates. - Hiroshi Tenmoto; Mineichi Kudo; Masaru Shimbo (Kybernetika, 1998)

Piecewise linear classifiers with an appropriate number of hyperplanes. - Hiroshi Tenmoto; Mineichi Kudo; Masaru Shimbo (Pattern Recognit., 1998)

Approximation of class regions by quasi convex hulls. - Mineichi Kudo; Yoichiro Torii; Yasukuni Mori; Masaru Shimbo (Pattern Recognit. Lett., 1998)

Geometry reconstruction of urban scenes by tracking vertical edges. - Tomohiko Gotoh; Mineichi Kudo; Jun Toyama; Masaru Shimbo (KES, 1999)

Estimation of velocity vectors from a video stream using discontinuity of optical flow. - Hiroki Hayashi; Mineichi Kudo; Jun Toyama; Masaru Shimbo (KES, 1999)

Effective sampling points for two-channel spline image coding. - Masanori Kawakami; Mineichi Kudo; Jun Toyama; Masaru Shimbo (KES, 1999)

Tabu search for solving optimization problems on Hopfield neural networks. - J. Konishi; S. Shimba; Jun Toyama; Mineichi Kudo; Masaru Shimbo (KES, 1999)

Termination conditions for a fast k-nearest neighbor method. - Naoto Masuyama; Mineichi Kudo; Jun Toyama; Masaru Shimbo (KES, 1999)

Determination of the number of components based on class separability in mixture-based classifiers. - Hiroshi Tenmoto; Mineichi Kudo; Masaru Shimbo (KES, 1999)

Multidimensional curve classification using passing-through regions. - Mineichi Kudo; Jun Toyama; Masaru Shimbo (Pattern Recognit. Lett., 1999)

A Histogram-Based Classifier on Overlapped Bins. - Mineichi Kudo; Hideyuki Imai; Masaru Shimbo (ICPR, 2000)

A Divergence Criterion for Classifier-Independent Feature Selection. - Naoto Abe; Mineichi Kudo; Jun Toyama; Masaru Shimbo (SSPR/SPR, 2000)

Comparison of Classifier-Specific Feature Selection Algorithms. - Mineichi Kudo; Petr Somol; Pavel Pudil; Masaru Shimbo; Jack Sklansky (SSPR/SPR, 2000)

Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers. - Hiroshi Tenmoto; Mineichi Kudo; Masaru Shimbo (SSPR/SPR, 2000)

Comparison of algorithms that select features for pattern classifiers. - Mineichi Kudo; Jack Sklansky (Pattern Recognit., 2000)

Fast Labelling of Natural Scenes Using Enhanced Knowledge. - Hiroki Hayashi; Mineichi Kudo; Jun Toyama; Masaru Shimbo (Pattern Anal. Appl., 2001)

A two-channel coding of images using spline surfaces. - Yoshinori Yanagihara; Masanori Kawakami; Mineichi Kudo; Jun Toyama; Masaru Shimbo (Syst. Comput. Jpn., 2001)

Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis. - Naoto Abe; Mineichi Kudo; Masaru Shimbo (SSPR/SPR, 2002)

Decision Tree Using Class-Dependent Feature Subsets. - Kazuaki Aoki; Mineichi Kudo (SSPR/SPR, 2002)

Collaborative Filtering Using Projective Restoration Operators. - Atsuyoshi Nakamura; Mineichi Kudo; Akira Tanaka; Kazuhiko Tanabe (Discovery Science, 2003)

Collaborative Filtering Using Restoration Operators. - Atsuyoshi Nakamura; Mineichi Kudo; Akira Tanaka (PKDD, 2003)

Simple termination conditions for k-nearest neighbor method. - Mineichi Kudo; Naoto Masuyama; Jun Toyama; Masaru Shimbo (Pattern Recognit. Lett., 2003)

A note on fuzzy granular reasoning. - Tetsuya Murai; Yasuo Kudo; Van-Nam Huynh; Akira Tanaka; Mineichi Kudo (FUZZ-IEEE, 2004)

On the Minimum l1-Norm Signal Recovery in Underdetermined Source Separation. - Ichigaku Takigawa; Mineichi Kudo; Atsuyoshi Nakamura; Jun Toyama (ICA, 2004)

A Gaussian Mixture-Based Colour Texture Model. - Michal Haindl; Jirí Grim; Petr Somol; Pavel Pudil; Mineichi Kudo (ICPR (3), 2004)

Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces. - Akira Tanaka; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (KES, 2004)

Combination of Weak Evidences by D-S Theory for Person Recognition. - Masafumi Yamada; Mineichi Kudo (KES, 2004)

A Note on Ziarko's Variable Precision Rough Set Model and Nonmonotonic Reasoning. - Tetsuya Murai; Masayuki Sanada; Yasuo Kudo; Mineichi Kudo (Rough Sets and Current Trends in Computing, 2004)

A Nearest Neighbor Method Using Bisectors. - Mineichi Kudo; Hideyuki Imai; Akira Tanaka; Tetsuya Murai (SSPR/SPR, 2004)

Classifier-Independent Visualization of Supervised Data Structures Using a Graph. - Hiroshi Tenmoto; Yasukuni Mori; Mineichi Kudo (SSPR/SPR, 2004)

Performance analysis of minimum ℓ1-norm solutions for underdetermined source separation. - Ichigaku Takigawa; Mineichi Kudo; Jun Toyama (IEEE Trans. Signal Process., 2004)

Specific-Purpose Web Searches on the Basis of Structure and Contents. - Mineichi Kudo; Atsuyoshi Nakamura (Federation over the Web, 2005)

A Comparative Study of Algorithms for Finding Web Communities. - Hidehiko Ino; Mineichi Kudo; Atsuyoshi Nakamura (ICDE Workshops, 2005)

Entropy Criterion for Classifier-Independent Feature Selection. - Naoto Abe; Mineichi Kudo (KES (4), 2005)

Empirical Study on Usefulness of Algorithm SACwRApper for Reputation Extraction from the WWW. - Hiroyuki Hasegawa; Mineichi Kudo; Atsuyoshi Nakamura (KES (4), 2005)

Person Tracking with Infrared Sensors. - Taisuke Hosokawa; Mineichi Kudo (KES (4), 2005)

Finding and Auto-labeling of Task Groups on E-Mails and Documents. - Hiroshi Tenmoto; Mineichi Kudo (KES (4), 2005)

Person Recognition by Pressure Sensors. - Masafumi Yamada; Jun Toyama; Mineichi Kudo (KES (4), 2005)

The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets. - Ichigaku Takigawa; Mineichi Kudo; Atsuyoshi Nakamura (MLDM, 2005)

Mining Frequent Trees with Node-Inclusion Constraints. - Atsuyoshi Nakamura; Mineichi Kudo (PAKDD, 2005)

A New Treatment and Viewpoint of Information Tables. - Mineichi Kudo; Tetsuya Murai (RSFDGrC (1), 2005)

Discernibility-Based Variable Granularity and Kansei Representations. - Yuji Muto; Mineichi Kudo (RSFDGrC (1), 2005)

Density- and Complexity-Regularization in Gaussian Mixture Bayesian Classifier. - Hiroshi Tenmoto; Mineichi Kudo (WSTST, 2005)

Partitioning of Web graphs by community topology. - Hidehiko Ino; Mineichi Kudo; Atsuyoshi Nakamura (WWW, 2005)

Design of decision trees using class-dependent feature subsets. - Kazuaki Aoki; Toshiharu Watanabe; Mineichi Kudo (Syst. Comput. Jpn., 2005)

Extraction of Generalized Rules with Automated Attribute Abstraction. - Yohji Shidara; Mineichi Kudo; Atsuyoshi Nakamura (Foundations of Data Mining and knowledge Discovery, 2005)

Hipprint Person Identification and Behavior Analys. - Masafumi Yamada; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (ICPR (4), 2006)

Model Selection Using a Class of Kernels with an Invariant Metric. - Akira Tanaka; Masashi Sugiyama; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (SSPR/SPR, 2006)

Reduction of Attribute Values for Kansei Representation. - Yuji Muto; Mineichi Kudo; Tetsuya Murai (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Classifier-independent feature selection on the basis of divergence criterion. - Naoto Abe; Mineichi Kudo; Jun Toyama; Masaru Shimbo (Pattern Anal. Appl., 2006)

Non-parametric classifier-independent feature selection. - Naoto Abe; Mineichi Kudo (Pattern Recognit., 2006)

Mining Subtrees with Frequent Occurrence of Similar Subtrees. - Hisashi Tosaka; Atsuyoshi Nakamura; Mineichi Kudo (Discovery Science, 2007)

A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers. - Mineichi Kudo; Satoshi Shirai; Hiroshi Tenmoto (MCS, 2007)

CCIC: Consistent Common Itemsets Classifier. - Yohji Shidara; Atsuyoshi Nakamura; Mineichi Kudo (MLDM, 2007)

Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules. - Yuji Muto; Mineichi Kudo; Yohji Shidara (RSKT, 2007)

Integrated kernels and their properties. - Akira Tanaka; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (Pattern Recognit., 2007)

What Sperner Family Concept Class is Easy to Be Enumerated? - Atsuyoshi Nakamura; Mineichi Kudo (ICDM, 2008)

Sitting posture analysis by pressure sensors. - Kazuhiro Kamiya; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (ICPR, 2008)

Classification by reflective convex hulls. - Mineichi Kudo; Atsuyoshi Nakamura; Ichigaku Takigawa (ICPR, 2008)

Classification by bagged consistent itemset rules. - Yohji Shidara; Mineichi Kudo; Atsuyoshi Nakamura (ICPR, 2008)

Feature and Classifier Selection in Class Decision Trees. - Kazuaki Aoki; Mineichi Kudo (SSPR/SPR, 2008)

Behavior Analysis of Volume Prototypes in High Dimensionality. - Maiko Sato; Mineichi Kudo; Jun Toyama (SSPR/SPR, 2008)

Bagging, Random Subspace Method and Biding. - Satoshi Shirai; Mineichi Kudo; Atsuyoshi Nakamura (SSPR/SPR, 2008)

Optimal Kernel in a Class of Kernels with an Invariant Metric. - Akira Tanaka; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (SSPR/SPR, 2008)

Soft Feature Selection by Using a Histogram-Based Classifier. - Hiroshi Tenmoto; Mineichi Kudo (SSPR/SPR, 2008)

Classification Based on Consistent Itemset Rules. - Yohji Shidara; Mineichi Kudo; Atsuyoshi Nakamura (Trans. Mach. Learn. Data Min., 2008)

Extended DNF Expression and Variable Granularity in Information Tables. - Mineichi Kudo; Tetsuya Murai (IEEE Trans. Fuzzy Syst., 2008)

Classifier Selection in a Family of Polyhedron Classifiers. - Tetsuji Takahashi; Mineichi Kudo; Atsuyoshi Nakamura (CIARP, 2009)

A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. - Mineichi Kudo; Jun Toyama; Hideyuki Imai (KES (2), 2009)

Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting. - Satoshi Shirai; Mineichi Kudo; Atsuyoshi Nakamura (MCS, 2009)

Clustering and Density Estimation for Streaming Data using Volume Prototypes. - Maiko Sato; Mineichi Kudo; Jun Toyama (PRIS, 2009)

Convex sets as prototypes for classifying patterns. - Ichigaku Takigawa; Mineichi Kudo; Atsuyoshi Nakamura (Eng. Appl. Artif. Intell., 2009)

Soft authentication using an infrared ceiling sensor network. - Taisuke Hosokawa; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (Pattern Anal. Appl., 2009)

Soft authentication and behavior analysis using a chair with sensors attached: hipprint authentication. - Masafumi Yamada; Kazuhiro Kamiya; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (Pattern Anal. Appl., 2009)

Algorithms for Adversarial Bandit Problems with Multiple Plays. - Taishi Uchiya; Atsuyoshi Nakamura; Mineichi Kudo (ALT, 2010)

Margin Preserved Approximate Convex Hulls for Classification. - Tetsuji Takahashi; Mineichi Kudo (ICPR, 2010)

A Relationship Between Generalization Error and Training Samples in Kernel Regressors. - Akira Tanaka; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (ICPR, 2010)

A top-down construction of class decision trees with selected features and classifiers. - Kazuaki Aoki; Mineichi Kudo (HPCS, 2010)

Algorithms for Finding a Minimum Repetition Representation of a String. - Atsuyoshi Nakamura; Tomoya Saito; Ichigaku Takigawa; Hiroshi Mamitsuka; Mineichi Kudo (SPIRE, 2010)

Localized Projection Learning. - Kazuki Tsuji; Mineichi Kudo; Akira Tanaka (SSPR/SPR, 2010)

Data compression by volume prototypes for streaming data. - Kenji Tabata; Maiko Sato; Mineichi Kudo (Pattern Recognit., 2010)

Probably correct k-nearest neighbor search in high dimensions. - Jun Toyama; Mineichi Kudo; Hideyuki Imai (Pattern Recognit., 2010)

Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network. - Shuai Tao; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (AmI Workshops, 2011)

Hierarchical Foreground Detection in Dynamic Background. - Guoliang Lu; Mineichi Kudo; Jun Toyama (CAIP (2), 2011)

Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. - Shuai Tao; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (CAIP (2), 2011)

A practical comparison of edit distance approximation algorithms. - Hiroyuki Hanada; Atsuyoshi Nakamura; Mineichi Kudo (GrC, 2011)

Robust human pose estimation from corrupted images with partial occlusions and noise pollutions. - Guoliang Lu; Mineichi Kudo; Jun Toyama (GrC, 2011)

Fatigue detection using a pressure sensor chair. - Hisataka Nakane; Jun Toyama; Mineichi Kudo (GrC, 2011)

Attribute value reduction for gaining simpler rules. - Kazuhiro Omura; Kazuaki Aoki; Mineichi Kudo (GrC, 2011)

Efficient construction and usefulness of hyper-rectangle greedy covers. - Koji Ouchi; Atsuyoshi Nakamura; Mineichi Kudo (GrC, 2011)

Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network. - Shuai Tao; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (GrC, 2011)

Theoretical analyses on a class of nested RKHS's. - Akira Tanaka; Hideyuki Imai; Mineichi Kudo; Masaaki Miyakoshi (ICASSP, 2011)

Recognition of Porosity in Wood Microscopic Anatomical Images. - Shen Pan; Mineichi Kudo (ICDM, 2011)

Packing Alignment: Alignment for Sequences of Various Length Events. - Atsuyoshi Nakamura; Mineichi Kudo (PAKDD (2), 2011)

Ceiling Sensor Network for Soft Authentication and Person Tracking using Equilibrium Line. - Hidetoshi Nonaka; Shuai Tao; Jun Toyama; Mineichi Kudo (PECCS, 2011)

Construction of convex hull classifiers in high dimensions. - Tetsuji Takahashi; Mineichi Kudo; Atsuyoshi Nakamura (Pattern Recognit. Lett., 2011)

Fast Approximation Algorithm for the 1-Median Problem. - Koji Tabata; Atsuyoshi Nakamura; Mineichi Kudo (Discovery Science, 2012)

Action recognition via sparse representation of characteristic frames. - Guoliang Lu; Mineichi Kudo; Jun Toyama (ICPR, 2012)

Camera view usage of binary infrared sensors for activity recognition. - Shuai Tao; Mineichi Kudo; Hidetoshi Nonaka; Jun Toyama (ICPR, 2012)

Frequent Approximate Substring Pattern Mining Using Locally Optimal Occurrence Counting. - Atsuyoshi Nakamura; Hisashi Tosaka; Mineichi Kudo (IIAI-AAI, 2012)

Weighted naïve Bayes classifier on categorical features. - Kazuhiro Omura; Mineichi Kudo; Tomomi Endo; Tetsuya Murai (ISDA, 2012)

Speech rate change detection in martingale framework. - Hironobu Yasuda; Mineichi Kudo (ISDA, 2012)

Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. - Akira Tanaka; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo (SSPR/SPR, 2012)

Selection of Characteristic Frames in Video for Efficient Action Recognition. - Guoliang Lu; Mineichi Kudo; Jun Toyama (IEICE Trans. Inf. Syst., 2012)

Recognition of Wood Porosity Based on Direction Insensitive Feature Sets. - Shen Pan; Mineichi Kudo (Trans. Mach. Learn. Data Min., 2012)

Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network. - Shuai Tao; Mineichi Kudo; Hidetoshi Nonaka (Sensors, 2012)

How Do Facial Expressions Contribute to Age Prediction? - Yingmei Piao; Mineichi Kudo (ACPR, 2013)

Acoustic characteristics related to the perceptual pitch in whispered vowels. - Hideaki Konno; Hideo Kanemitsu; Nobuyuki Takahashi; Mineichi Kudo (ASRU, 2013)

Weighted Naïve Bayes Classifiers by Renyi Entropy. - Tomomi Endo; Mineichi Kudo (CIARP (1), 2013)

Fast algorithms for finding a minimum repetition representation of strings and trees. - Atsuyoshi Nakamura; Tomoya Saito; Ichigaku Takigawa; Mineichi Kudo; Hiroshi Mamitsuka (Discret. Appl. Math., 2013)

Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition. - Guoliang Lu; Mineichi Kudo (IEICE Trans. Inf. Syst., 2013)

Temporal segmentation and assignment of successive actions in a long-term video. - Guoliang Lu; Mineichi Kudo; Jun Toyama (Pattern Recognit. Lett., 2013)

Privacy Preserving Multi-target Tracking. - Anton Milan; Stefan Roth 001; Konrad Schindler; Mineichi Kudo (ACCV Workshops (3), 2014)

A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. - Keigo Kimura; Yuzuru Tanaka; Mineichi Kudo (ACML, 2014)

Theoretical Analyses on Ensemble and Multiple Kernel Regressors. - Akira Tanaka; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo (ACML, 2014)

Group Sleepiness Measurement in Classroom. - Kenshiro Nishikawa; Mineichi Kudo (AMMDS, 2014)

Deterioration of intelligibility in whispered Japanese speech. - Hideaki Konno; Rinako Sato; Hideyuki Imai; Mineichi Kudo (APSIPA, 2014)

Selection of Features in Accord with Population Drift. - Hiroshi Tsukioka; Mineichi Kudo (ICPR, 2014)

Analyses on Generalization Error of Ensemble Kernel Regressors. - Akira Tanaka; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo (S+SSPR, 2014)

Learning action patterns in difference images for efficient action recognition. - Guoliang Lu; Mineichi Kudo (Neurocomputing, 2014)

Analysis of Relationship between RéNyi Entropy and Marginal Bayes error and its Application to Weighted naïVE Bayes Classifiers. - Tomomi Endo; Kazuhiro Omura; Mineichi Kudo (Int. J. Pattern Recognit. Artif. Intell., 2014)

An efficient construction and application usefulness of rectangle greedy covers. - Koji Ouchi; Atsuyoshi Nakamura; Mineichi Kudo (Pattern Recognit., 2014)

Average-case linear-time similar substring searching by the q-gram distance. - Hiroyuki Hanada; Mineichi Kudo; Atsuyoshi Nakamura (Theor. Comput. Sci., 2014)

Unsupervised Surface Reflectance Field Multi-segmenter. - Michal Haindl; Stanislav Mikes; Mineichi Kudo (CAIP (1), 2015)

An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. - Koji Tabata; Atsuyoshi Nakamura; Mineichi Kudo (Discovery Science, 2015)

Variable Selection for Efficient Nonnegative Tensor Factorization. - Keigo Kimura; Mineichi Kudo (ICDM, 2015)

Polytree-Augmented Classifier Chains for Multi-Label Classification. - Lu Sun 001; Mineichi Kudo (IJCAI, 2015)

Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble. - Ayako Mikami; Mineichi Kudo; Atsuyoshi Nakamura (MCS, 2015)

Community Change Detection in Dynamic Networks in Noisy Environment. - Sadamori Koujaku; Mineichi Kudo; Ichigaku Takigawa; Hideyuki Imai (WWW (Companion Volume), 2015)

Ensemble and Multiple Kernel Regressors: Which Is Better? - Akira Tanaka; Hirofumi Takebayashi; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

An improved upper bound on the expected regret of UCB-type policies for a matching-selection bandit problem. - Ryo Watanabe; Atsuyoshi Nakamura; Mineichi Kudo (Oper. Res. Lett., 2015)

Corrigendum to 'Homage to Professor Maria Petrou' [ Pattern Recognition Letters 48 (2014) 2-7]. - Xavier Lladó; Atsushi Imiya; David Mason; Constantino Carlos Reyes-Aldasoro; Kazuaki Aoki; Mineichi Kudo; Yu-Jin Zhang; Vasileios Argyriou (Pattern Recognit. Lett., 2015)

Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network. - Shuai Tao; Mineichi Kudo; Bingnan Pei; Hidetoshi Nonaka; Jun Toyama (IEEE Trans. Hum. Mach. Syst., 2015)

A Scalable Clustering-Based Local Multi-Label Classification Method. - Lu Sun 001; Mineichi Kudo; Keigo Kimura (ECAI, 2016)

Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. - Jana Backhus; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo; Masanori Sugimoto (ICANN (1), 2016)

Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. - Jana Backhus; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo; Masanori Sugimoto (ICONIP (4), 2016)

Fast random k-labELsets for large-scale multi-label classification. - Keigo Kimura; Mineichi Kudo; Lu Sun 001; Sadamori Koujaku (ICPR, 2016)

Simultaneous visualization of samples, features and multi-labels. - Mineichi Kudo; Keigo Kimura; Michal Haindl; Hiroshi Tenmoto (ICPR, 2016)

Locality in multi-label classification problems. - Batzaya Norov-Erdene; Mineichi Kudo; Lu Sun 001; Keigo Kimura (ICPR, 2016)

Multi-label classification with meta-label-specific features. - Lu Sun 001; Mineichi Kudo; Keigo Kimura (ICPR, 2016)

Location-associated indoor behavior analysis of multiple persons. - Syota Suzuuchi; Mineichi Kudo (ICPR, 2016)

Sitting posture diagnosis using a pressure sensor mat. - Shunsuke Suzuki; Mineichi Kudo; Atsuyoshi Nakamura (ISBA, 2016)

Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. - Keigo Kimura; Mineichi Kudo; Lu Sun 001 (S+SSPR, 2016)

Mining approximate patterns with frequent locally optimal occurrences. - Atsuyoshi Nakamura; Ichigaku Takigawa; Hisashi Tosaka; Mineichi Kudo; Hiroshi Mamitsuka (Discret. Appl. Math., 2016)

A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint. - Keigo Kimura; Mineichi Kudo; Yuzuru Tanaka (Mach. Learn., 2016)

Efficient action recognition via local position offset of 3D skeletal body joints. - Guoliang Lu; Yiqi Zhou; Xueyong Li; Mineichi Kudo (Multim. Tools Appl., 2016)

Dense core model for cohesive subgraph discovery. - Sadamori Koujaku; Ichigaku Takigawa; Mineichi Kudo; Hideyuki Imai (Soc. Networks, 2016)

Whisper to normal speech conversion using pitch estimated from spectrum. - Hideaki Konno; Mineichi Kudo; Hideyuki Imai; Masanori Sugimoto (Speech Commun., 2016)

On Practical Accuracy of Edit Distance Approximation Algorithms. - Hiroyuki Hanada; Mineichi Kudo; Atsuyoshi Nakamura (CoRR, 2017)

MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. - Keigo Kimura; Lu Sun 001; Mineichi Kudo (CoRR, 2017)

An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting. - Jana Backhus; Ichigaku Takigawa; Hideyuki Imai; Mineichi Kudo; Masanori Sugimoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

READER: Robust Semi-Supervised Multi-Label Dimension Reduction. - Lu Sun 001; Mineichi Kudo; Keigo Kimura (IEICE Trans. Inf. Syst., 2017)

An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. - Koji Tabata; Atsuyoshi Nakamura; Mineichi Kudo (IEICE Trans. Inf. Syst., 2017)

KL-UCB-Based Policy for Budgeted Multi-Armed Bandits with Stochastic Action Costs. - Ryo Watanabe; Junpei Komiyama; Atsuyoshi Nakamura; Mineichi Kudo (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

UCB-SC: A Fast Variant of KL-UCB-SC for Budgeted Multi-Armed Bandit Problem. - Ryo Watanabe; Junpei Komiyama; Atsuyoshi Nakamura; Mineichi Kudo (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Optimization of classifier chains via conditional likelihood maximization. - Lu Sun 001; Mineichi Kudo (Pattern Recognit., 2018)

A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. - Mariko Tai; Mineichi Kudo (CIARP, 2019)

Multi-label classification by polytree-augmented classifier chains with label-dependent features. - Lu Sun 001; Mineichi Kudo (Pattern Anal. Appl., 2019)

Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. - Mitsuki Maekawa; Atsuyoshi Nakamura; Mineichi Kudo (ACML, 2020)

R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. - Kejing Lu; Mineichi Kudo (ICDE, 2020)

VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning. - Kejing Lu; Hongya Wang; Wei Wang 011; Mineichi Kudo (Proc. VLDB Endow., 2020)

MLSH: Mixed Hash Function Family for Approximate Nearest Neighbor Search in Multiple Fractional Metrics. - Kejing Lu; Mineichi Kudo (DASFAA (2), 2021)

Balancing of Samples in Class Hierarchy. - Shuhei Aoki; Mineichi Kudo (IWAIPR, 2021)

Feature Selection with Class Hierarchy for Imbalance Problems. - Tomoya Horio; Mineichi Kudo (IWAIPR, 2021)

SVM Based EVM for Open Space Problems. - Yasuyuki Kaneko; Mineichi Kudo (IWAIPR, 2021)

AdaLSH: Adaptive LSH for Solving c-Approximate Maximum Inner Product Search Problem. - Kejing Lu; Mineichi Kudo (IEICE Trans. Inf. Syst., 2021)

HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search. - Kejing Lu; Mineichi Kudo; Chuan Xiao 001; Yoshiharu Ishikawa (Proc. VLDB Endow., 2021)

Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone. - Kai Tanaka; Mineichi Kudo; Keigo Kimura (ICPR, 2022)

Retargeted Regression Methods for Multi-label Learning. - Keigo Kimura; Jiaqi Bao; Mineichi Kudo; Lu Sun 001 (S+SSPR, 2022)

Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. - Mineichi Kudo; Keigo Kimura; Shumpei Morishita; Lu Sun 001 (S+SSPR, 2022)

Realization of Autoencoders by Kernel Methods. - Shumpei Morishita; Mineichi Kudo; Keigo Kimura; Lu Sun 001 (S+SSPR, 2022)

CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. - Zhiwei Li 003; Lu Sun 001; Mineichi Kudo; Kego Kimura (CoRR, 2022)

Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data. - Mariko Tai; Mineichi Kudo; Akira Tanaka; Hideyuki Imai; Keigo Kimura (Pattern Recognit., 2022)

Structured Sparse Multi-Task Learning with Generalized Group Lasso. - Luhuan Fei; Lu Sun 001; Mineichi Kudo; Keigo Kimura (ECAI, 2023)

Grouped Multi-Task Learning with Hidden Tasks Enhancement. - Jiachun Jin; Jiankun Wang 002; Lu Sun 001; Jie Zheng; Mineichi Kudo (ECAI, 2023)

Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. - Weijia Lin; Jiankun Wang 002; Lu Sun 001; Mineichi Kudo; Keigo Kimura (ICDM, 2023)

Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels. - Zhiwei Li 007; Zijian Yang; Lu Sun 001; Mineichi Kudo; Keigo Kimura (PRICAI (2), 2023)

Partial Multi-label Learning with a Few Accurately Labeled Data. - Haruhi Mizuguchi; Keigo Kimura; Mineichi Kudo; Lu Sun 001 (PRICAI (2), 2023)

Fall Detection by Ambient Sensors on Years-Long Simulation Data. - Kai Tanaka; Mineichi Kudo; Keigo Kimura (ABC, 2024)

R-LIME: Rectangular Constraints and Optimization for Local Interpretable Model-agnostic Explanation Methods. - Genji Ohara; Keigo Kimura; Mineichi Kudo (ICPR (15), 2024)

Long-term Detection System for Six Kinds of Abnormal Behavior of the Elderly Living Alone. - Kai Tanaka; Mineichi Kudo; Keigo Kimura; Atsuyoshi Nakamura (CoRR, 2024)

Robust embedding regression for semi-supervised learning. - Jiaqi Bao; Mineichi Kudo; Keigo Kimura; Lu Sun 001 (Pattern Recognit., 2024)

Redirected transfer learning for robust multi-layer subspace learning. - Jiaqi Bao; Mineichi Kudo; Keigo Kimura; Lu Sun 001 (Pattern Anal. Appl., 2024)

Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone. - Kai Tanaka; Mineichi Kudo; Keigo Kimura (IEEE Internet Things J., 2024)

Multi-view multi-label personalized classification via generalized exclusive sparse tensor factorization. - Luhuan Fei; Weijia Lin; Jiankun Wang 002; Lu Sun 001; Mineichi Kudo; Keigo Kimura (Knowl. Inf. Syst., 2025)