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ORCIDHideyuki Imai
- > Home > Persons > Hideyuki Imai
Publications
- 2022
[j25]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: 108399 (2022)- 2017
- [j21]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. 100-A(3): 865-876 (2017) - 2016
- [j19]Sadamori Koujaku, Ichigaku Takigawa, Mineichi Kudo, Hideyuki Imai:
Dense core model for cohesive subgraph discovery. Soc. Networks 44: 143-152 (2016) - [j18]Hideaki Konno, Mineichi Kudo, Hideyuki Imai, Masanori Sugimoto:
Whisper to normal speech conversion using pitch estimated from spectrum. Speech Commun. 83: 10-20 (2016) - [c29]Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto:
Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. ICANN (1) 2016: 444-452 - [c28]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: 538-546 - 2015
- [j17]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. 98-A(11): 2315-2324 (2015) - [c27]Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai:
Community Change Detection in Dynamic Networks in Noisy Environment. WWW (Companion Volume) 2015: 793-798 - 2014
- [c26]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Theoretical Analyses on Ensemble and Multiple Kernel Regressors. ACML 2014 - [c25]Hideaki Konno, Rinako Sato, Hideyuki Imai, Mineichi Kudo:
Deterioration of intelligibility in whispered Japanese speech. APSIPA 2014: 1-4 - [c23]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Analyses on Generalization Error of Ensemble Kernel Regressors. S+SSPR 2014: 273-281 - 2012
- [c20]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: 345-353 - 2011
- [c17]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Theoretical analyses on a class of nested RKHS's. ICASSP 2011: 2072-2075 - 2010
- [j13]Jun Toyama, Mineichi Kudo, Hideyuki Imai:
Probably correct k-nearest neighbor search in high dimensions. Pattern Recognit. 43(4): 1361-1372 (2010) - [c15]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
A Relationship Between Generalization Error and Training Samples in Kernel Regressors. ICPR 2010: 1421-1424 - 2009
- [c12]Mineichi Kudo, Jun Toyama, Hideyuki Imai:
A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. KES (2) 2009: 333-339 - 2008
- [c10]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Optimal Kernel in a Class of Kernels with an Invariant Metric. SSPR/SPR 2008: 530-539 - 2007
- [j10]Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Integrated kernels and their properties. Pattern Recognit. 40(11): 2930-2938 (2007) - 2006
- [c6]Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Model Selection Using a Class of Kernels with an Invariant Metric. SSPR/SPR 2006: 862-870 - 2004
- [c5]Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces. KES 2004: 1058-1064 - [c3]Mineichi Kudo, Hideyuki Imai, Akira Tanaka, Tetsuya Murai:
A Nearest Neighbor Method Using Bisectors. SSPR/SPR 2004: 885-893 - 2000
- [c1]Mineichi Kudo, Hideyuki Imai, Masaru Shimbo:
A Histogram-Based Classifier on Overlapped Bins. ICPR 2000: 2029-2033
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