Akira Tamamori

23 papers A 2C 1Misc 4Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kernel Logistic Regression Learning for High-Capacity Hopfield Networks.
IEICE Trans. Inf. Syst.
Akira Tamamori
2025 J jnl
Kernel Logistic Regression Learning for High-Capacity Hopfield Networks.
CoRR
Akira Tamamori
2025 — conf
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks.
APSIPA
Akira Tamamori
2025 J jnl
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks.
CoRR
Akira Tamamori
2025 J jnl
Localized Kernel Projection Outlyingness: A Two-Stage Approach for Multi-Modal Outlier Detection.
CoRR
Akira Tamamori
2025 J jnl
Quantitative Attractor Analysis of High-Capacity Kernel Logistic Regression Hopfield Networks.
CoRR
Akira Tamamori
2025 J jnl
Self-Organization and Spectral Mechanism of Attractor Landscapes in High-Capacity Kernel Hopfield Networks.
CoRR
Akira Tamamori
2025 J jnl
Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory.
CoRR
Akira Tamamori
2023 — conf
Kernel Random Projection Depth for Outlier Detection.
APSIPA ASC
Akira Tamamori
2023 J jnl
Kernel Random Projection Depth for Outlier Detection.
CoRR
Akira Tamamori
2023 J jnl
Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting.
IEICE Trans. Inf. Syst.
Akira Tamamori
2019 — conf
A sequential prediction method of quasi-periodicity based on Gaussian process state space model.
APSIPA
Akira Tamamori, Tomoko Matsui
2017 C conf
An investigation of multi-speaker training for wavenet vocoder.
ASRU
Tomoki Hayashi, Akira Tamamori, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda
2017 — conf
An investigation of recurrent neural network for daily activity recognition using multi-modal signals.
APSIPA
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda
2017 A conf
Speaker-Dependent WaveNet Vocoder.
INTERSPEECH
Akira Tamamori, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda
2017 A conf
Statistical Voice Conversion with WaveNet-Based Waveform Generation.
INTERSPEECH
Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda
2016 J jnl
A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models.
IEICE Trans. Inf. Syst.
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2014 J jnl
Image Recognition Based on Separable Lattice Trajectory 2-D HMMs.
IEICE Trans. Inf. Syst.
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda
2013 Misc conf
Image recognition based on separable lattice trajectory 2-D HMMS.
ICASSP
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda
2012 J jnl
An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations.
IEICE Trans. Inf. Syst.
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda
2012 Misc conf
Face recognition based on separable lattice 2-D HMMS using variational bayesian method.
ICASSP
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
2010 Misc conf
An extension of Separable Lattice 2-D HMMS for rotational data variations.
ICASSP
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda
2010 Misc conf
Face recognition based on separable lattice 2-D HMM with state duration modeling.
ICASSP
Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda