Akira Tamamori

According to our database, Akira Tamamori authored at least 20 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks.

Akira Tamamori

CoRR, May, 2026

Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory.

Akira Tamamori

CoRR, April, 2026

Kernel Logistic Regression Learning for High-Capacity Hopfield Networks.

Akira Tamamori

IEICE Trans. Inf. Syst., 2026

2025

Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory.

Akira Tamamori

CoRR, November, 2025

Self-Organization and Spectral Mechanism of Attractor Landscapes in High-Capacity Kernel Hopfield Networks.

Akira Tamamori

CoRR, November, 2025

Localized Kernel Projection Outlyingness: A Two-Stage Approach for Multi-Modal Outlier Detection.

Akira Tamamori

CoRR, October, 2025

Quantitative Attractor Analysis of High-Capacity Kernel Logistic Regression Hopfield Networks.

Akira Tamamori

CoRR, May, 2025

Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks.

Akira Tamamori

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2023

Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting.

Akira Tamamori

IEICE Trans. Inf. Syst., July, 2023

Kernel Random Projection Depth for Outlier Detection.

Akira Tamamori

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2019

A sequential prediction method of quasi-periodicity based on Gaussian process state space model.

Akira Tamamori, Tomoko Matsui

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2017

Speaker-Dependent WaveNet Vocoder.

Akira Tamamori, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Statistical Voice Conversion with WaveNet-Based Waveform Generation.

Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An investigation of multi-speaker training for wavenet vocoder.

Tomoki Hayashi, Akira Tamamori, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

An investigation of recurrent neural network for daily activity recognition using multi-modal signals.

Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

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

2013

Image recognition based on separable lattice trajectory 2-D HMMS.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Face recognition based on separable lattice 2-D HMMS using variational bayesian method.

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

An extension of Separable Lattice 2-D HMMS for rotational data variations.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010

Face recognition based on separable lattice 2-D HMM with state duration modeling.

Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010