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Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.

Y. Tomotoshi, D. Ha, E. Delattre, H. Watanabe, X. Lu, S. Katagiri, and M. Ohsaki. IUKM, volume 11471 of Lecture Notes in Computer Science, page 295-307. Springer, (2019)

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Hideyuki Sakamoto

Wataru Watanabe

Rie Watanabe

Norihiro Watanabe

Shigeo Watanabe

Other publications of authors with the same name

Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition.N. Umezaki, T. Okubo, H. Watanabe, S. Katagiri, and M. Ohsaki. SPML, page 62-72. ACM, (2019)Minimum detection error training for acoustic signal monitoring.H. Watanabe, Y. Matsumoto, and S. Katagiri. ICASSP, page 1193-1196. IEEE, (1998)Automatic node selection for Deep Neural Networks using Group Lasso regularization.T. Ochiai, S. Matsuda, H. Watanabe, and S. Katagiri. ICASSP, page 5485-5489. IEEE, (2017)Clinical evaluation of irreversible data compression for computed radiography of the chest.K. Egashira, H. Nakata, H. Watanabe, K. Uchida, K. Nakamura, Y. Ishino, K. Horino, and R. Yoshikawa. J. Digital Imaging, 11 (4): 176-181 (1998)Minimum classification error vs. maximum margin: How should we penalize unseen samples?S. Katagiri, and H. Watanabe. CIP, page 1-6. IEEE, (2012)Speech segmentation and clustering based on speaker features.M. Sugiyama, J. Murakami, and H. Watanabe. ICASSP (2), page 395-398. IEEE Computer Society, (1993)HMM speech recognizer based on discriminative metric design.H. Watanabe, and S. Katagiri. ICASSP, page 3237-3240. IEEE Computer Society, (1997)A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction.C. Miyajima, H. Watanabe, K. Tokuda, T. Kitamura, and S. Katagiri. Speech Commun., 35 (3-4): 203-218 (2001)Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training.H. Watanabe, T. Ohashi, S. Katagiri, M. Ohsaki, S. Matsuda, and H. Kashioka. J. Signal Process. Syst., 74 (3): 297-310 (2014)Compact kernel classifiers trained with minimum classification error criterion.R. Tani, H. Watanabe, S. Katagiri, and M. Ohsaki. MLSP, page 1-6. IEEE, (2017)

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Disambiguation of "Watanabe, Hideyuki"

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Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.

Please choose a person to relate this publication to

Hideyuki Sakamoto

Wataru Watanabe

Rie Watanabe

Norihiro Watanabe

Shigeo Watanabe

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Watanabe, Hideyuki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.

Please choose a person to relate this publication to

Hideyuki Sakamoto

Wataru Watanabe

Rie Watanabe

Norihiro Watanabe

Shigeo Watanabe

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.