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Hideyuki Watanabe
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2020 – today
- 2021
- [j14]David Ha
, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki:
An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. J. Signal Process. Syst. 93(9): 1057-1084 (2021) - 2020
- [j13]David Ha
, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. J. Signal Process. Syst. 92(2): 135-151 (2020)
2010 – 2019
- 2019
- [c23]Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki:
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. IUKM 2019: 295-307 - [c22]Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Maximum Bayes Boundary-Ness Training For Pattern Classification. SPML 2019: 18-28 - [c21]Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. SPML 2019: 62-72 - 2018
- [c20]David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Optimal Classifier Model Status Selection using Bayes boundary uncertainty. MLSP 2018: 1-6 - [c19]David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri:
Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. SPML 2018: 107-114 - 2017
- [j12]Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca L. Ralescu:
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 29(9): 1806-1819 (2017) - [c18]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri:
Automatic node selection for Deep Neural Networks using Group Lasso regularization. ICASSP 2017: 5485-5489 - [c17]Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Compact kernel classifiers trained with minimum classification error criterion. MLSP 2017: 1-6 - 2016
- [j11]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Hisashi Kawai, Shigeru Katagiri:
Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers. IEICE Trans. Inf. Syst. 99-D(10): 2431-2443 (2016) - [c16]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Hisashi Kawai, Shigeru Katagiri:
Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer. ICASSP 2016: 5015-5019 - [i1]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri:
Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization. CoRR abs/1611.05527 (2016) - 2015
- [c15]Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe:
Formulation of the kernel logistic regression based on the confusion matrix. CEC 2015: 2327-2334 - [c14]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Shigeru Katagiri:
Speaker adaptive training for deep neural networks embedding linear transformation networks. ICASSP 2015: 4605-4609 - 2014
- [j10]Hideyuki Watanabe, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka:
Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training. J. Signal Process. Syst. 74(3): 297-310 (2014) - [j9]Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka:
Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination. J. Signal Process. Syst. 74(3): 311-322 (2014) - 2012
- [c13]Shigeru Katagiri, Hideyuki Watanabe:
Minimum classification error vs. maximum margin: How should we penalize unseen samples? CIP 2012: 1-6 - [c12]Tsukasa Ohashi, Hideyuki Watanabe, Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka:
Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training. ICASSP 2012: 2081-2084 - 2011
- [c11]Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Minimum classification error training with geometric margin enhancement for robust pattern recognition. MLSP 2011: 1-6 - [c10]Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki:
Minimum classification error training with automatic setting of loss smoothness. MLSP 2011: 1-6 - 2010
- [c9]Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe
, Miho Ohsaki:
Minimum Error Classification with geometric margin control. ICASSP 2010: 2170-2173
2000 – 2009
- 2004
- [c8]Nobuhiro Oda, Shoji Kido, Shoko Yamada, Takatoshi Aoki, Hideyuki Watanabe, Yukunori Korogi, Shigehiko Katsuragawa, Kunio Doi:
Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. CARS 2004: 911-916 - 2001
- [j8]Chiyomi Miyajima, Hideyuki Watanabe, Keiichi Tokuda, Tadashi Kitamura, Shigeru Katagiri:
A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction. Speech Commun. 35(3-4): 203-218 (2001)
1990 – 1999
- 1999
- [j7]Hideyuki Watanabe, Yuji Matsumoto, Satoru Tanaka, Shigeru Katagiri:
A new approach to acoustic signal monitoring based on the generalized probabilistic descent method. IEEE Trans. Signal Process. 47(9): 2615-2618 (1999) - [c7]Chiyomi Miyajima, Hideyuki Watanabe, Tadashi Kitamura, Shigeru Katagiri:
Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function. EUROSPEECH 1999: 779-782 - 1998
- [j6]Kazuhiko Uchida, Hideyuki Watanabe, Takatoshi Aoki, Katsumi Nakamura, Hajime Nakata:
Clinical evaluation of irreversible data compression for computed radiography of the hand. J. Digit. Imaging 11(3): 121-125 (1998) - [j5]Kanji Egashira, Hajime Nakata, Hideyuki Watanabe, Kazuhiko Uchida, Katsumi Nakamura, Yoichi Ishino, Kenji Horino, Rie Yoshikawa:
Clinical evaluation of irreversible data compression for computed radiography of the chest. J. Digit. Imaging 11(4): 176-181 (1998) - [c6]Hideyuki Watanabe, Yuji Matsumoto, Shigeru Katagiri:
Minimum detection error training for acoustic signal monitoring. ICASSP 1998: 1193-1196 - 1997
- [j4]Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri:
Discriminative metric design for robust pattern recognition. IEEE Trans. Signal Process. 45(11): 2655-2662 (1997) - [c5]Hideyuki Watanabe, Shigeru Katagiri:
HMM speech recognizer based on discriminative metric design. ICASSP 1997: 3237-3240 - 1996
- [j3]Kazuhiko Uchida, Katsumi Nakamura, Hideyuki Watanabe, Kanji Egashira, Yoichi Ishino, Minoru Murakami, Hajime Nakata:
Clinical evaluation of irreversible data compression for computed radiography in excretory urography. J. Digit. Imaging 9(3): 145-149 (1996) - [j2]Jin'ichi Murakami, Hideyuki Watanabe, Masahide Sugiyama:
Study of unknown-multiple signal-source clustering problem using ergodic HMM. Syst. Comput. Jpn. 27(5): 97-106 (1996) - [c4]Jin'ichi Murakami, Masahide Sugiyama, Hideyuki Watanabe:
Unknown-multiple signal source clustering problem using ergodic HMM and applied to speaker classification. ICSLP 1996: 2407-2410 - 1995
- [c3]Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri:
Discriminative metric design for pattern recognition. ICASSP 1995: 3439-3442 - 1994
- [j1]Masahide Sugiyama, Jin'ichi Murakami, Hideyuki Watanabe:
Speech segmentation and clustering problem based on an unknown-multiple N signal source model - an application to segmented speech clustering based on speaker features. Syst. Comput. Jpn. 25(9): 83-92 (1994) - 1993
- [c2]Masahide Sugiyama, Jin'ichi Murakami, Hideyuki Watanabe:
Speech segmentation and clustering based on speaker features. ICASSP (2) 1993: 395-398 - 1991
- [c1]Hideyuki Watanabe, Masakiyo Suzuki, Nobuo Nagai, Nobuhiro Miki:
Maximum likelihood bearing estimation by quasi-Newton method using a uniform linear array. ICASSP 1991: 3325-3328
Coauthor Index
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