Some properties of minimal solutions for a fuzzy relation equation. - Hideyuki Imai; Masaaki Miyakoshi; Tsutomu Da-te (Fuzzy Sets Syst., 1997)

Evaluation of optimum image restoration filters by perturbation of a degradationoperator. - Hideyuki Imai; Akira Tanaka; Masaaki Miyakoshi (Syst. Comput. Jpn., 1997)

Unattainable solutions of a fuzzy relation equation. - Hideyuki Imai; Ken Kikuchi; Masaaki Miyakoshi (Fuzzy Sets Syst., 1998)

A method of identifying influential data in fuzzy clustering. - Hideyuki Imai; Akira Tanaka; Masaaki Miyakoshi (IEEE Trans. Fuzzy Syst., 1998)

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

The period of powers of a fuzzy matrix. - Hideyuki Imai; Yuichiro Okahara; Masaaki Miyakoshi (Fuzzy Sets Syst., 2000)

Parameter Estimation and Image Restoration Using the Families of Projection Filters and Parametric Projection Filters. - Hideyuki Imai; Yuying Yuan; Yoshiharu Sato (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

Choosing the Parameter of Image Restoration Filters by Modified Subspace Information Criterion. - Akira Tanaka; Hideyuki Imai; Masaaki Miyakoshi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

Properties of the solution set of a fuzzy relation equation from the viewpoint of attainability. - Hideyuki Imai; Masaaki Miyakoshi; Yoshiharu Sato (Soft Comput., 2002)

On a modeling of decision making with a twofold integral. - Hideyuki Imai; Vicenç Torra (EUSFLAT Conf., 2003)

Multidimensional Global Optimization Using Interval Slopes. - Ronald Waweru Mwangi; Hideyuki Imai; Yoshiharu Sato (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

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)

On Detecting Interactions in Hayashi's Second Method of Quantification. - Hideyuki Imai; Daigo Izawa; Kiyotaka Yoshida; Yoshiharu Sato (MDAI, 2004)

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

Theoretical Foundations of Second-Order-Statistics-Based Blind Source Separation for Non-Stationary Sources. - Akira Tanaka; Hideyuki Imai; Masaaki Miyakoshi (ICASSP (3), 2006)

Panel-Sized TFT-LCD Column Driver. - O. Ishibashi; M. Iriguchi; Keigo Kimura; J. Ishii; D. Sasaki; Hideyuki Imai; H. Tsuchi; Hiroshi Hayama (ISSCC, 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)

A Fuzzy Representation for Weights of Alternatives in AHP. - Shin-ichi Ohnishi; Takahiro Yamanoi; Hideyuki Imai (EUSFLAT Conf. (2), 2007)

A Unified Framework of Subspace Identification for D.O.A. Estimation. - Akira Tanaka; Hideyuki Imai; Masaaki Miyakoshi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

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

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

A Fuzzy Weight Representation for Inner Dependence Method AHP. - Shin-ichi Ohnishi; Takahiro Yamanoi; Hideyuki Imai (IFSA/EUSFLAT Conf., 2009)

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

Effects of Kurtosis for the Error Rate Estimators Using Resampling Methods in Two Class Discrimination. - Kozo Yamada; Hirohito Sakurai; Hideyuki Imai; Yoshiharu Sato (KES (2), 2009)

A kind of fuzzy weights representation for inner dependence AHP. - Shin-ichi Ohnishi; Takahiro Yamanoi; Hideyuki Imai (FUZZ-IEEE, 2010)

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

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

Kernel-induced sampling theorem. - Akira Tanaka; Hideyuki Imai; Masaaki Miyakoshi (IEEE Trans. Signal Process., 2010)

A fuzzy representation for non-additive weights of AHP. - Shin-ichi Ohnishi; Takahiro Yamanoi; Hideyuki Imai (FUZZ-IEEE, 2011)

Observation Research of Consumer Behavior for Marketing Decision Support. - Hideyuki Imai; Noriko Hara; Toshiki Yamaoka (HCI (23), 2011)

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

Robustness of resampling-based error rate estimators in two class discrimination under non-normal population. - Kozo Yamada; Hirohito Sakurai; Hideyuki Imai; Yoshiharu Sato (Int. J. Reason. based Intell. Syst., 2011)

A Fuzzy Weights Representation for Inner Dependence AHP. - Shin-ichi Ohnishi; Takahiro Yamanoi; Hideyuki Imai (J. Adv. Comput. Intell. Intell. Informatics, 2011)

A novel criterion for quality improvement of JPEG images based on image database and re-application of JPEG. - Katsuya Kohno; Akira Tanaka; Hideyuki Imai (APSIPA, 2012)

Variance analyses for kernel regressors with nested reproducing kernel hilbert spaces. - Akira Tanaka; Hideyuki Imai; Koji Takamiya (ICASSP, 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)

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

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

Music-based DOA estimation by oblique projection along the signal subspace. - Akira Tanaka; Hideyuki Imai (SSP, 2014)

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

Parametric Wiener Filter with Linear Constraints for Unknown Target Signals. - Akira Tanaka; Hideyuki Imai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

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)

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)

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)

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)

Theoretical Analyses on 2-Norm-Based Multiple Kernel Regressors. - Akira Tanaka; Hideyuki Imai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Affine Transformation based Nonnegative Matrix Factorization. - Ruoni Zhang; Hideyuki Imai; Yoshihiro Hirose (iFUZZY, 2019)

A Fast Cross-Validation Algorithm for Kernel Ridge Regression by Eigenvalue Decomposition. - Akira Tanaka; Hideyuki Imai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Kernel Ridge Regression with Autocorrelation Prior: Optimal Model and Cross-Validation. - Akira Tanaka; Hideyuki Imai (ICASSP, 2020)

Shift Invariance Property of a Non-Negative Matrix Factorization. - Hideyuki Imai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Principal Component Clustered Factors for Determining Study Performance in Computer Programming Class. - Unhawa Ninrutsirikun; Hideyuki Imai; Bunthit Watanapa; Chonlameth Arpnikanondt (Wirel. Pers. Commun., 2020)

Model Selection of Kernel Ridge Regression for Extrapolation. - Akira Tanaka; Masanari Nakamura; Hideyuki Imai (MLSP, 2021)

Kernel-Based Regressors Equivalent to Stochastic Affine Estimators. - Akira Tanaka; Masanari Nakamura; Hideyuki Imai (IEICE Trans. Inf. Syst., 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)