Face recognition based on separable lattice 2-D HMM with state duration modeling. - Yoshiaki Takahashi; Akira Tamamori; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2010)

Face recognition based on separable lattice 2-D HMMS using variational bayesian method. - Kei Sawada; Akira Tamamori; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2012)

An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations. - Akira Tamamori; Yoshihiko Nankaku; Keiichi Tokuda (IEICE Trans. Inf. Syst., 2012)

Image Recognition Based on Separable Lattice Trajectory 2-D HMMs. - Akira Tamamori; Yoshihiko Nankaku; Keiichi Tokuda (IEICE Trans. Inf. Syst., 2014)

A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models. - Kei Sawada; Akira Tamamori; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (IEICE Trans. Inf. Syst., 2016)

An investigation of recurrent neural network for daily activity recognition using multi-modal signals. - Akira Tamamori; Tomoki Hayashi; Tomoki Toda; Kazuya Takeda (APSIPA, 2017)

An investigation of multi-speaker training for wavenet vocoder. - Tomoki Hayashi; Akira Tamamori; Kazuhiro Kobayashi; Kazuya Takeda; Tomoki Toda (ASRU, 2017)

Statistical Voice Conversion with WaveNet-Based Waveform Generation. - Kazuhiro Kobayashi; Tomoki Hayashi; Akira Tamamori; Tomoki Toda (INTERSPEECH, 2017)

Speaker-Dependent WaveNet Vocoder. - Akira Tamamori; Tomoki Hayashi; Kazuhiro Kobayashi; Kazuya Takeda; Tomoki Toda (INTERSPEECH, 2017)

A sequential prediction method of quasi-periodicity based on Gaussian process state space model. - Akira Tamamori; Tomoko Matsui (APSIPA, 2019)

Kernel Random Projection Depth for Outlier Detection. - Akira Tamamori (APSIPA ASC, 2023)

Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting. - Akira Tamamori (IEICE Trans. Inf. Syst., 2023)

Kernel Logistic Regression Learning for High-Capacity Hopfield Networks. - Akira Tamamori (CoRR, 2025)

Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks. - Akira Tamamori (CoRR, 2025)

Quantitative Attractor Analysis of High-Capacity Kernel Logistic Regression Hopfield Networks. - Akira Tamamori (CoRR, 2025)