Mismatch Robustness of Linear Prediction and Its Relationship to Coding - Yasuo Matsuyama (Inf. Control., 1980)

Universal tree encoding for speech. - Yasuo Matsuyama; Robert M. Gray (IEEE Trans. Inf. Theory, 1981)

Voice Coding and Tree Encoding Speech Compression Systems Based Upon Inverse Filter Matching. - Yasuo Matsuyama; Robert M. Gray (IEEE Trans. Commun., 1982)

Joint time-spectral vector quantization and inverse filter set. - Yasuo Matsuyama (ICASSP, 1986)

Variable region vector quantization, space warping and speech/Image compression. - Yasuo Matsuyama (ICASSP, 1987)

Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connections. - Yasuo Matsuyama (IJCNN, 1990)

Competitive self-organization and combinatorial optimization: applications to traveling salesman problem. - Yasuo Matsuyama (IJCNN, 1990)

Self-organizing neural networks and various euclidean traveling salesman problems. - Yasuo Matsuyama (Syst. Comput. Jpn., 1992)

Competitive learning parallel agents: application to travelling salesperson problem. - Yasuo Matsuyama (Neural Parallel Sci. Comput., 1993)

Harmonic competition: a self-organizing multiple criteria optimization. - Yasuo Matsuyama (IEEE Trans. Neural Networks, 1996)

The weighted EM algorithm and block monitoring. - Yasuo Matsuyama (ICNN, 1997)

The Alpha-EM Algorithm: A Block Connectable Generalized Learning Tool for Neural Networks. - Yasuo Matsuyama (IWANN, 1997)

A new algorithm for resolving position reversal problems in stereo matching using dynamic programming. - Minoru Fujii; Yasuo Matsuyama (Syst. Comput. Jpn., 1997)

A Hierarchy from alfa-EM Algorithm to Vector Quantization and Self Organization. - Yasuo Matsuyama; Naoki Takeda; Satoshi Furukawa; Takeshi Niimoto (ICONIP, 1998)

Multiple descent cost competition: restorable self-organization and multimedia information processing. - Yasuo Matsuyama (IEEE Trans. Neural Networks, 1998)

The α-EM learning and its cookbook: from mixture-of-expert neural networks to movie random field. - Yasuo Matsuyama; Takayuki Ikeda; Tomoaki Tanaka; Satoshi Furukawa; Naoki Takeda; Takeshi Niimoto (IJCNN, 1999)

The α-EM algorithm and its applications. - Yasuo Matsuyama (ICASSP, 2000)

EM Algorithm and -ICA Learning Based upon Extended Logarithmic Information Measures. - Yasuo Matsuyama; Takeshi Niimoto; Naoto Katsumata; Yoshitaka Suzuki; Satoshi Furukawa (IJCNN (3), 2000)

The alpha-EM algorithm and its basic properties. - Yasuo Matsuyama (Syst. Comput. Jpn., 2000)

Independent Component Analysis Minimizing Convex Divergence. - Yasuo Matsuyama; Naoto Katsumata; Ryo Kawamura (ICANN, 2003)

The alpha-EM algorithm: surrogate likelihood maximization using alpha-logarithmic information measures. - Yasuo Matsuyama (IEEE Trans. Inf. Theory, 2003)

Promoter Recognition for E. coli DNA Segments by Independent Component Analysis. - Yasuo Matsuyama; Ryo Kawamura (CSB, 2004)

Towards the Unification of Human Movement, Animation and Humanoid in the Network. - Yasuo Matsuyama; Satoshi Yoshinaga; Hirofumi Okuda; Keisuke Fukumoto; Satoshi Nagatsuma; Kazuya Tanikawa; Hiroto Hakui; Ryusuke Okuhara; Naoto Katsumata (ICONIP, 2004)

ICA photographic encoding gear: image bases towards IPEG. - Yasuo Matsuyama; Hiroaki Kataoka; Naoto Katsumata; Keita Shimoda (IJCNN, 2004)

Similar-image retrieval systems using ICA and PCA bases. - Naoto Katsumata; Yasuo Matsuyama (IJCNN, 2005)

Database retrieval for similar images using ICA and PCA bases. - Naoto Katsumata; Yasuo Matsuyama (Eng. Appl. Artif. Intell., 2005)

Retrieval-Aware Image Compression, Its Format and Viewer Based Upon Learned Bases. - Naoto Katsumata; Yasuo Matsuyama; Takeshi Chikagawa; Fuminori Ohashi; Fumiaki Horiike; Shun'ichi Honma; Tomohiro Nakamura (ICONIP (2), 2006)

Image-to-Image Retrieval Using Computationally Learned Bases and Color Information. - Yasuo Matsuyama; Fuminori Ohashi; Fumiaki Horiike; Tomohiro Nakamura; Shun'ichi Honma; Naoto Katsumata; Yuuki Hoshino (IJCNN, 2007)

Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures. - Takatoshi Kato; Shun'ichi Honma; Yasuo Matsuyama; Tetsuma Yoshino; Yuuki Hoshino (ICONIP (1), 2008)

Bio-signal Integration for Humanoid Operation: Gesture and Brain Signal Recognition by HMM/SVM-Embedded BN. - Yasuo Matsuyama; Fumiya Matsushima; Youichi Nishida; Takashi Hatakeyama; Koji Sawada; Takatoshi Kato (ICONIP (1), 2008)

Protein Folding Classification by Committee SVM Array. - Mika Takata; Yasuo Matsuyama (ICONIP (2), 2008)

HMM-embedded Bayesian network for heterogeneous command integration: applications to biped humanoid operation over the network. - Yasuo Matsuyama; Youichi Nishida (CSTST, 2008)

Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals. - Yasuo Matsuyama; Fumiya Matsushima; Youichi Nishida; Takashi Hatakeyama; Nimiko Ochiai; Shogo Aida (ICANN (1), 2009)

Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids. - Yasuo Matsuyama; Keita Noguchi; Takashi Hatakeyama; Nimiko Ochiai; Tatsuro Hori (Brain Informatics, 2010)

Multimodal human-humanoid interaction using motions, brain nirs and spike trains. - Yasuo Matsuyama; Nimiko Ochiai; Takashi Hatakeyama; Keita Noguchi (HRI, 2010)

Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM. - Yasuo Matsuyama; Ryunosuke Hayashi (IJCNN, 2010)

Yet Rapid ICA: Applications to un-indexed image-to-image retrieval. - Ryota Yokote; Yasuo Matsuyama (IJCNN, 2010)

Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs. - Yasuo Matsuyama (IJCNN, 2011)

Independent component analysis with graphical correlation: Applications to multi-vision coding. - Ryota Yokote; Toshikazu Nakamura; Yasuo Matsuyama (IJCNN, 2011)

Composite Data Mapping for Spherical GUI Design: Clustering of Must-Watch and No-Need TV Programs. - Masaya Maejima; Ryota Yokote; Yasuo Matsuyama (ICONIP (5), 2012)

Icon Placement Regularization for Jammed Profiles: Applications to Web-Registered Personnel Mining. - Hiroyuki Kamiya; Ryota Yokote; Yasuo Matsuyama (IAIT, 2013)

Brain Signal Based Continuous Authentication: Functional NIRS Approach. - Michitaro Shozawa; Ryota Yokote; Seira Hidano; Chi-Hua Wu; Yasuo Matsuyama (IWANN (2), 2013)

Similar-Video Retrieval via Learned Exemplars and Time-Warped Alignment. - Teruki Horie; Masafumi Moriwaki; Ryota Yokote; Shota Ninomiya; Akihiro Shikano; Yasuo Matsuyama (ICONIP (3), 2014)

Learning Algorithms and Frame Signatures for Video Similarity Ranking. - Teruki Horie; Akihiro Shikano; Hiromichi Iwase; Yasuo Matsuyama (ICONIP (1), 2015)

Order-aware exemplars for structuring video sets: Clustering, aligned matching and retrieval by similarity. - Yasuo Matsuyama; Akihiro Shikano; Hiromichi Iwase; Teruki Horie (IJCNN, 2015)

Brain signal's low-frequency fits the continuous authentication. - Yasuo Matsuyama; Michitaro Shozawa; Ryota Yokote (Neurocomputing, 2015)

Verification of fraudulent PIN holders by brain waves. - Hiromichi Iwase; Teruki Horie; Yasuo Matsuyama (IJCNN, 2016)

The Alpha-HMM Estimation Algorithm: Prior Cycle Guides Fast Paths. - Yasuo Matsuyama (IEEE Trans. Signal Process., 2017)

Divergence Family Attains Blockchain Applications via α-EM Algorithm. - Yasuo Matsuyama (ISIT, 2019)

Divergence Family Contribution to Data Evaluation in Blockchain Via Alpha-EM and Log-EM Algorithms. - Yasuo Matsuyama (IEEE Access, 2021)

Alpha-Backpropagation Algorithm: Probability Estimation for One-Hot and Quasi-One-Hot Teachers. - Yasuo Matsuyama (IEEE Access, 2025)