Hideyuki Watanabe

38 papers B 1Misc 9Journal 15Unranked 13

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. J. Signal Process. Syst. David Ha, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki
2020	J	`jnl`	A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. J. Signal Process. Syst. David Ha, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2019	—	`conf`	Maximum Bayes Boundary-Ness Training For Pattern Classification. SPML Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2019	—	`conf`	Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. SPML Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2019	—	`conf`	Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. IUKM Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki
2018	—	`conf`	Optimal Classifier Model Status Selection using Bayes boundary uncertainty. MLSP David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2018	—	`conf`	Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. SPML David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri
2017	Misc	`conf`	Automatic node selection for Deep Neural Networks using Group Lasso regularization. ICASSP Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri
2017	—	`conf`	Compact kernel classifiers trained with minimum classification error criterion. MLSP Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2017	J	`jnl`	Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca L. Ralescu
2016	J	`jnl`	Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization. CoRR Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri
2016	Misc	`conf`	Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer. ICASSP Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Hisashi Kawai, Shigeru Katagiri
2016	J	`jnl`	Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers. IEICE Trans. Inf. Syst. Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Hisashi Kawai, Shigeru Katagiri
2015	B	`conf`	Formulation of the kernel logistic regression based on the confusion matrix. CEC Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe
2015	Misc	`conf`	Speaker adaptive training for deep neural networks embedding linear transformation networks. ICASSP Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Shigeru Katagiri
2014	J	`jnl`	Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination. J. Signal Process. Syst. Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
2014	J	`jnl`	Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training. J. Signal Process. Syst. Hideyuki Watanabe, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
2012	Misc	`conf`	Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training. ICASSP Tsukasa Ohashi, Hideyuki Watanabe, Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
2012	—	`conf`	Minimum classification error vs. maximum margin: How should we penalize unseen samples? CIP Shigeru Katagiri, Hideyuki Watanabe
2011	—	`conf`	Minimum classification error training with automatic setting of loss smoothness. MLSP Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki
2011	—	`conf`	Minimum classification error training with geometric margin enhancement for robust pattern recognition. MLSP Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
2010	Misc	`conf`	Minimum Error Classification with geometric margin control. ICASSP Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki
2004	—	`conf`	Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. CARS Nobuhiro Oda, Shoji Kido, Shoko Yamada, Takatoshi Aoki, Hideyuki Watanabe, Yukunori Korogi, Shigehiko Katsuragawa, Kunio Doi
2001	J	`jnl`	A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction. Speech Commun. Chiyomi Miyajima, Hideyuki Watanabe, Keiichi Tokuda, Tadashi Kitamura, Shigeru Katagiri
1999	J	`jnl`	A new approach to acoustic signal monitoring based on the generalized probabilistic descent method. IEEE Trans. Signal Process. Hideyuki Watanabe, Yuji Matsumoto, Satoru Tanaka, Shigeru Katagiri
1999	—	`conf`	Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function. EUROSPEECH Chiyomi Miyajima, Hideyuki Watanabe, Tadashi Kitamura, Shigeru Katagiri
1998	J	`jnl`	Clinical evaluation of irreversible data compression for computed radiography of the chest. J. Digit. Imaging Kanji Egashira, Hajime Nakata, Hideyuki Watanabe, Kazuhiko Uchida, Katsumi Nakamura, Yoichi Ishino, Kenji Horino, Rie Yoshikawa
1998	J	`jnl`	Clinical evaluation of irreversible data compression for computed radiography of the hand. J. Digit. Imaging Kazuhiko Uchida, Hideyuki Watanabe, Takatoshi Aoki, Katsumi Nakamura, Hajime Nakata
1998	Misc	`conf`	Minimum detection error training for acoustic signal monitoring. ICASSP Hideyuki Watanabe, Yuji Matsumoto, Shigeru Katagiri
1997	J	`jnl`	Discriminative metric design for robust pattern recognition. IEEE Trans. Signal Process. Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri
1997	Misc	`conf`	HMM speech recognizer based on discriminative metric design. ICASSP Hideyuki Watanabe, Shigeru Katagiri
1996	J	`jnl`	Clinical evaluation of irreversible data compression for computed radiography in excretory urography. J. Digit. Imaging Kazuhiko Uchida, Katsumi Nakamura, Hideyuki Watanabe, Kanji Egashira, Yoichi Ishino, Minoru Murakami, Hajime Nakata
1996	J	`jnl`	Study of unknown-multiple signal-source clustering problem using ergodic HMM. Syst. Comput. Jpn. Jin'ichi Murakami, Hideyuki Watanabe, Masahide Sugiyama
1996	—	`conf`	Unknown-multiple signal source clustering problem using ergodic HMM and applied to speaker classification. ICSLP Jin'ichi Murakami, Masahide Sugiyama, Hideyuki Watanabe
1995	Misc	`conf`	Discriminative metric design for pattern recognition. ICASSP Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri
1994	J	`jnl`	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. Masahide Sugiyama, Jin'ichi Murakami, Hideyuki Watanabe
1993	—	`conf`	Speech segmentation and clustering based on speaker features. ICASSP (2) Masahide Sugiyama, Jin'ichi Murakami, Hideyuki Watanabe
1991	Misc	`conf`	Maximum likelihood bearing estimation by quasi-Newton method using a uniform linear array. ICASSP Hideyuki Watanabe, Masakiyo Suzuki, Nobuo Nagai, Nobuhiro Miki