Yasuo Matsuyama

发表

HMM-embedded Bayesian network for heterogeneous command integration: applications to biped humanoid operation over the network

Yasuo Matsuyama, Youichi Nishida, 2008, CSTST.

The -EM Algorithm: Surrogate Likelihood Maximization Using -Logarithmic Information Measures

Yasuo Matsuyama, Y. Matsuyama, 2001 .

Rapid Algorithm for Independent Component Analysis

Yasuo Matsuyama, Ryota Yokote, 2012 .

PROCESS DISTORTION MEASURES AND APPLICATIONS TO STOCHASTIC SYSTEMS.

Robert M. Gray, Yasuo Matsuyama, Luis A. Buzo, 1979 .

/spl alpha/-EM algorithm and /spl alpha/-ICA learning based upon extended logarithmic information measures

Yasuo Matsuyama, Yoshitaka Suzuki, Takeshi Niimoto, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Multimodal human-humanoid interaction using motions, brain nirs and spike trains

Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, 2010, HRI 2010.

Competitive learning parallel agents: application to travelling salesperson problem

Yasuo Matsuyama, 1993, Neural Parallel Sci. Comput..

Learning Speed Evaluation of the α-EM Algorithm

Yasuo Matsuyama, 1999 .

Penalized learning as multiple object optimization

Yasuo Matsuyama, H. Nakayama, T. Sasai, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Retrieval-Aware Image Compression, Its Format and Viewer Based Upon Learned Bases

Tomohiro Nakamura, Yasuo Matsuyama, Naoto Katsumata, 2006, ICONIP.

The Alpha-EM Algorithm: A Block Connectable Generalized Learning Tool for Neural Networks

Yasuo Matsuyama, Y. Matsuyama, 1997, IWANN.

Self-organizing neural networks and various euclidean traveling salesman problems

Yasuo Matsuyama, Y. Matsuyama, 1992, Systems and Computers in Japan.

Two types of speech compression systems using inverse filter codebook

Yasuo Matsuyama, 1981 .

IMAGE COMPRESSION VIA VECTOR QUANTIZATION WITH VARIABLE DIMENSION.

Yasuo Matsuyama, 1987 .

Bio-signal Integration for Humanoid Operation: Gesture and Brain Signal Recognition by HMM/SVM-Embedded BN

Takatoshi Kato, Yasuo Matsuyama, Youichi Nishida, 2008, ICONIP.

Self-organization via competition, cooperation and categorization applied to extended vehicle routing problems

Yasuo Matsuyama, Y. Matsuyama, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

The /spl alpha/-EM algorithm and its applications

Yasuo Matsuyama, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Verification of fraudulent PIN holders by brain waves

Yasuo Matsuyama, Hiromichi Iwase, Teruki Horie, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Learning Optimization of Composite Cost

Yasuo Matsuyama, Yuh Perng Chen, Taketoshi Sasai, 1994 .

Yet Rapid ICA: Applications to un-indexed image-to-image retrieval

Yasuo Matsuyama, Ryota Yokote, Y. Matsuyama, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

VECTOR QUANTIZATION OF OPTIMALLY GROUPED SETS AND IMAGE/SPEECH COMPRESSION.

Yasuo Matsuyama, 1987 .

Independent component analysis by convex divergence minimization: applications to brain fMRI analysis

Yasuo Matsuyama, S. Imahara, Y. Matsuyama, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

PROCESS DISTORTION MEASURES FOR DISCRETE TIME STOCHASTIC PROCESSES AND THEIR BASIC PROPERTIES.

Yasuo Matsuyama, 1981 .

Yasuo Matsuyama, Ryota Yokote, Teruki Horie, 2014, ICONIP.

Composite Data Mapping for Spherical GUI Design: Clustering of Must-Watch and No-Need TV Programs

Yasuo Matsuyama, Ryota Yokote, Masaya Maejima, 2012, ICONIP.

Image-to-Image Retrieval Using Computationally Learned Bases and Color Information

Tomohiro Nakamura, Yasuo Matsuyama, Naoto Katsumata, 2007, 2007 International Joint Conference on Neural Networks.

UNIVERSAL SOURCE CODING AND SPEECH COMPRESSION.

Yasuo Matsuyama, 1981 .

Supervised map ICA: applications to brain functional MRI

Yasuo Matsuyama, R. Kawamura, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Analysis of Stochastic Information Processes in Neurons by Means of First Passage Times

Katsuhiko Shirai, Yasuo Matsuyama, Kageo Akizuki, 1973 .

Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs

Yasuo Matsuyama, Y. Matsuyama, 2011, The 2011 International Joint Conference on Neural Networks.

Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures

Takatoshi Kato, Yasuo Matsuyama, Shun'ichi Honma, 2008, ICONIP.

Learning in competitive networks with penalties

Yasuo Matsuyama, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Multiply descent cost competitive learning as an aid for multimedia image processing

Yasuo Matsuyama, M. Tan, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals

Yasuo Matsuyama, Youichi Nishida, Nimiko Ochiai, 2009, ICANN.

The alpha-EM algorithm and its basic properties

Yasuo Matsuyama, 2000, Systems and Computers in Japan.

Conversion of sensitivity-based tasks from brain signals and motions: Applications to humanoid operation

Yasuo Matsuyama, Ryota Yokote, Yuuki Yokosawa, 2012, ICAISC 2012.

Iterative optimization of convex divergence: applications to independent component analysis

Yasuo Matsuyama, 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids

Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, 2010, Brain Informatics.

Promoter recognition for E. coli DNA segments by independent component analysis

Yasuo Matsuyama, Ryo Kawamura, Y. Matsuyama, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Mismatch Robustness of Linear Prediction and Its Relationship to Coding

Yasuo Matsuyama, Y. Matsuyama, 1980, Inf. Control..

APPLICATIONS OF PROCESS DISTORTION MEASURES TO PREDICTOR MISMATCH PROBLEMS AND CODING.

Yasuo Matsuyama, 1981 .

A Hierarchy from alfa-EM Algorithm to Vector Quantization and Self Organization

Naoki Takeda, Yasuo Matsuyama, Takeshi Niimoto, 1998, ICONIP.

Universal tree encoding for speech

Robert M. Gray, Yasuo Matsuyama, 1981, IEEE Trans. Inf. Theory.

Order-aware exemplars for structuring video sets: Clustering, aligned matching and retrieval by similarity

Yasuo Matsuyama, Hiromichi Iwase, Teruki Horie, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Multiple Descent Cost Competition Algorithms and Parallel Partial Optimization

Yasuo Matsuyama, 1991 .

Learning Algorithms and Frame Signatures for Video Similarity Ranking

Yasuo Matsuyama, Hiromichi Iwase, Teruki Horie, 2015, ICONIP.

Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM

Yasuo Matsuyama, Ryunosuke Hayashi, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Yasuo Matsuyama, Masato Uchida, Teruki Horie, 2018 .

Protein Folding Classification by Committee SVM Array

Yasuo Matsuyama, Mika Takata, 2008, ICONIP.

Voice Coding and Tree Encoding Speech Compression Systems Based Upon Inverse Filter Matching

Robert M. Gray, Yasuo Matsuyama, 1982, IEEE Trans. Commun..

Digital movies using optimized feature maps

Yasuo Matsuyama, M. Tan, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

The /spl alpha/-EM learning and its cookbook: from mixture-of-expert neural networks to movie random field

Naoki Takeda, Takayuki Ikeda, Tomoaki Tanaka, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Fast learning by the /spl alpha/-ECME algorithm

N. Takeda, Yasuo Matsuyama, S. Furukawa, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Fast estimation of Hidden Markov Models via alpha-EM algorithm

Yasuo Matsuyama, Ryota Yokote, Ryunosuke Hayashi, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Brain Signal Based Continuous Authentication: Functional NIRS Approach

Chi-Hua Wu, Seira Hidano, Yasuo Matsuyama, 2013, IWANN.

Icon Placement Regularization for Jammed Profiles: Applications to Web-Registered Personnel Mining

Yasuo Matsuyama, Ryota Yokote, Hiroyuki Kamiya, 2013, IAIT.

Injection of external information to feature maps of multiply descent cost competitive learning

Yasuo Matsuyama, Y. Kurosawa, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Database retrieval for similar images using ICA and PCA bases

Yasuo Matsuyama, Naoto Katsumata, 2005, Eng. Appl. Artif. Intell..

Multimodal human-humanoid interaction using motions, brain NIRS and spike trains

Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, 2010, 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

WEM Algorithms and Probabilistic Learning

Yasuo Matsuyama, Y. Matsuyama, 1998 .

Independent Component Analysis Minimizing Convex Divergence

Yasuo Matsuyama, Naoto Katsumata, Ryo Kawamura, 2003, ICANN.

Image transformation using a feature map of multiply descent cost competitive learning

Yasuo Matsuyama, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Inferring Genes Involved in Metabolic Pathways by Using Support Vector Machines

Sachiyo Aburatani, Yasuo Matsuyama, Shohei Maruyama, 2014 .

Multiple descent cost competitive learning and data-compressed 3-D morphing

Yasuo Matsuyama, G. Matsuo, T. Shimazu, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Divergence Family Attains Blockchain Applications via α-EM Algorithm

Yasuo Matsuyama, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Independent component analysis with graphical correlation: Applications to multi-vision coding

Yasuo Matsuyama, Ryota Yokote, Toshikazu Nakamura, 2011, The 2011 International Joint Conference on Neural Networks.

Towards the Unification of Human Movement, Animation and Humanoid in the Network

Yasuo Matsuyama, Naoto Katsumata, Hirofumi Okuda, 2004, ICONIP.

A new algorithm for resolving position reversal problems in stereo matching using dynamic programming

Minoru Fujii, Yasuo Matsuyama, 1997 .

A new algorithm for resolving position reversal problems in stereo matching using dynamic programming

Yasuo Matsuyama, Minoru Fujii, 1997, Systems and Computers in Japan.

The Alpha-HMM Estimation Algorithm: Prior Cycle Guides Fast Paths

Yasuo Matsuyama, Y. Matsuyama, 2017, IEEE Transactions on Signal Processing.

Divergence Family Contribution to Data Evaluation in Blockchain Via Alpha-EM and Log-EM Algorithms

Yasuo Matsuyama, 2021, IEEE Access.

On some properties of stochastic information processes in neurons and neuron populations

Katsuhiko Shirai, Yasuo Matsuyama, Kageo Akizuki, 1974, Kybernetik.

Optimization transfer for computational learning: a hierarchy from f-ICA and alpha-EM to their offsprings

Yasuo Matsuyama, Naoto Katsumata, S. Imahara, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Fast /spl alpha/-weighted EM learning for neural networks of module mixtures

Yasuo Matsuyama, Y. Matsuyama, S. Furukawa, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Non-logarithmic information measures, /spl alpha/-weighted EM algorithms and speedup of learning

Yasuo Matsuyama, Y. Matsuyama, 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

Independent Component Analysis Using Convex Divergence

Yasuo Matsuyama, Naoto Katsumata, Shuichiro Imahara, 2001 .