Maximum likelihood bearing estimation by quasi-Newton method using a uniform linear array. - Hideyuki Watanabe; Masakiyo Suzuki; Nobuo Nagai; Nobuhiro Miki (ICASSP, 1991)

Speech segmentation and clustering based on speaker features. - Masahide Sugiyama; Jin'ichi Murakami; Hideyuki Watanabe (ICASSP (2), 1993)

Speech segmentation and clustering problem based on an unknown-multiple N signal source model - an application to segmented speech clustering based on speaker features. - Masahide Sugiyama; Jin'ichi Murakami; Hideyuki Watanabe (Syst. Comput. Jpn., 1994)

Discriminative metric design for pattern recognition. - Hideyuki Watanabe; Tsuyoshi Yamaguchi; Shigeru Katagiri (ICASSP, 1995)

Unknown-multiple signal source clustering problem using ergodic HMM and applied to speaker classification. - Jin'ichi Murakami; Masahide Sugiyama; Hideyuki Watanabe (ICSLP, 1996)

Clinical evaluation of irreversible data compression for computed radiography in excretory urography. - Kazuhiko Uchida; Katsumi Nakamura; Hideyuki Watanabe; Kanji Egashira; Yoichi Ishino; Minoru Murakami; Hajime Nakata (J. Digit. Imaging, 1996)

Study of unknown-multiple signal-source clustering problem using ergodic HMM. - Jin'ichi Murakami; Hideyuki Watanabe; Masahide Sugiyama (Syst. Comput. Jpn., 1996)

HMM speech recognizer based on discriminative metric design. - Hideyuki Watanabe; Shigeru Katagiri (ICASSP, 1997)

Discriminative metric design for robust pattern recognition. - Hideyuki Watanabe; Tsuyoshi Yamaguchi; Shigeru Katagiri (IEEE Trans. Signal Process., 1997)

Minimum detection error training for acoustic signal monitoring. - Hideyuki Watanabe; Yuji Matsumoto 001; Shigeru Katagiri (ICASSP, 1998)

Clinical evaluation of irreversible data compression for computed radiography of the chest. - Kanji Egashira; Hajime Nakata; Hideyuki Watanabe; Kazuhiko Uchida; Katsumi Nakamura; Yoichi Ishino; Kenji Horino; Rie Yoshikawa (J. Digit. Imaging, 1998)

Clinical evaluation of irreversible data compression for computed radiography of the hand. - Kazuhiko Uchida; Hideyuki Watanabe; Takatoshi Aoki; Katsumi Nakamura; Hajime Nakata (J. Digit. Imaging, 1998)

Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function. - Chiyomi Miyajima; Hideyuki Watanabe; Tadashi Kitamura; Shigeru Katagiri (EUROSPEECH, 1999)

A new approach to acoustic signal monitoring based on the generalized probabilistic descent method. - Hideyuki Watanabe; Yuji Matsumoto 001; Satoru Tanaka; Shigeru Katagiri (IEEE Trans. Signal Process., 1999)

A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction. - Chiyomi Miyajima; Hideyuki Watanabe; Keiichi Tokuda; Tadashi Kitamura; Shigeru Katagiri (Speech Commun., 2001)

Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. - Nobuhiro Oda; Shoji Kido; Shoko Yamada; Takatoshi Aoki; Hideyuki Watanabe; Yukunori Korogi; Shigehiko Katsuragawa; Kunio Doi (CARS, 2004)

Minimum Error Classification with geometric margin control. - Hideyuki Watanabe; Shigeru Katagiri; Kouta Yamada; Erik McDermott; Atsushi Nakamura; Shinji Watanabe 001; Miho Ohsaki (ICASSP, 2010)

Minimum classification error training with geometric margin enhancement for robust pattern recognition. - Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 2011)

Minimum classification error training with automatic setting of loss smoothness. - Hideyuki Watanabe; Jun'ichi Tokuno; Tsukasa Ohashi; Shigeru Katagiri; Miho Ohsaki (MLSP, 2011)

Minimum classification error vs. maximum margin: How should we penalize unseen samples? - Shigeru Katagiri; Hideyuki Watanabe (CIP, 2012)

Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training. - Tsukasa Ohashi; Hideyuki Watanabe; Jun'ichi Tokuno; Shigeru Katagiri; Miho Ohsaki; Shigeki Matsuda; Hideki Kashioka (ICASSP, 2012)

Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training. - Hideyuki Watanabe; Tsukasa Ohashi; Shigeru Katagiri; Miho Ohsaki; Shigeki Matsuda; Hideki Kashioka (J. Signal Process. Syst., 2014)

Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination. - Hideyuki Watanabe; Jun'ichi Tokuno; Tsukasa Ohashi; Shigeru Katagiri; Miho Ohsaki; Shigeki Matsuda; Hideki Kashioka (J. Signal Process. Syst., 2014)

Formulation of the kernel logistic regression based on the confusion matrix. - Miho Ohsaki; Kenji Matsuda; Peng Wang; Shigeru Katagiri; Hideyuki Watanabe (CEC, 2015)

Speaker adaptive training for deep neural networks embedding linear transformation networks. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Xugang Lu; Chiori Hori; Shigeru Katagiri (ICASSP, 2015)

Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Xugang Lu; Hisashi Kawai; Shigeru Katagiri (ICASSP, 2016)

Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Xugang Lu; Chiori Hori; Hisashi Kawai; Shigeru Katagiri (IEICE Trans. Inf. Syst., 2016)

Automatic node selection for Deep Neural Networks using Group Lasso regularization. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Shigeru Katagiri (ICASSP, 2017)

Compact kernel classifiers trained with minimum classification error criterion. - Ryoma Tani; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 2017)

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. - Miho Ohsaki; Peng Wang; Kenji Matsuda; Shigeru Katagiri; Hideyuki Watanabe; Anca L. Ralescu (IEEE Trans. Knowl. Data Eng., 2017)

Optimal Classifier Model Status Selection using Bayes boundary uncertainty. - David Ha; Emilie Delattre; Yuya Tomotoshi; Masahiro Senda; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 2018)

Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. - David Ha; Hideyuki Watanabe; Yuya Tomotoshi; Emilie Delattre; Shigeru Katagiri (SPML, 2018)

Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. - Yuya Tomotoshi; David Ha; Emilie Delattre; Hideyuki Watanabe; Xugang Lu; Shigeru Katagiri; Miho Ohsaki (IUKM, 2019)

Maximum Bayes Boundary-Ness Training For Pattern Classification. - Masahiro Senda; David Ha; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (SPML, 2019)

Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. - Naoto Umezaki; Takumi Okubo; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (SPML, 2019)

A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. - David Ha; Yuya Tomotoshi; Masahiro Senda; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (J. Signal Process. Syst., 2020)

An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. - David Ha; Shigeru Katagiri; Hideyuki Watanabe; Miho Ohsaki (J. Signal Process. Syst., 2021)