T. Matsushima

发表

Parallel Encoder and Decoder Architecture for Cyclic Codes

T. Matsushima, T. Matsushima, S. Hirasawa, 1996 .

Ecient Reliability-based Soft Decision Decoding Algorithm over Markov Modulated Channel

T. Matsushima, S. Hirasawa, H. Yagi, 2004 .

A note on automatic construction algorithms for orthogonal designs of experiments using error-correcting codes

T. Matsushima, S. Hirasawa, Tomohiko Saito, 2010 .

A Generalization of the Parallel Error Correcting Codes

T. Matsushima, S. Hirasawa, H. Yagi, 2006, ITW 2006.

On uncertain logic based upon information theory

Shigeichi Hirasawa, Toshiyasu Matsushima, Hiroshige Inazumi, 1988 .

An Approximation Algorithm of Bayes Coding to Reduce Memory Capacity

T. Matsushima, S. Hirasawa, R. Nomura, 2003 .

A study on difference of codelengths between codes based on MDL principle and bayes codes for given prior distributions

T. Matsushima, S. Hirasawa, Masayuki Gotoh, 2001 .

On the complexity of hypothesis space and the sample complexity for machine learning

T. Matsushima, T. Kohnosu, M. Nakazawa, 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

An accurate density evolution analysis for a finite-state Markov channel

T. Matsushima, S. Hirasawa, Naoto Kobayashi, 2010 .

On Error Exponents for Variable Size List Decoder Using the Viterbi Algorithm with Likelihood Ratio Testing

T. Matsushima, S. Hirasawa, T. Niinomi, 2005 .

An Algorithm for Computing the Stratonovich's Value of Information

T. Matsushima, Akira Kamatsuka, Takahiro Yoshida, 2022, 2205.02778.

A Note on Learning Boolean Functions by Using Orthogonal Design

T. Matsushima, S. Hirasawa, Yoshifumi Ukita, 2001 .

A note on relation between the Fourier coefficients and the interaction effects in the experimental design

T. Matsushima, S. Hirasawa, Yoshifumi Ukita, 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).

A Description of Experimental Design on the Basis of an Orthonormal System

T. Matsushima, Yoshifumi Ukita, 2011 .

On Improvement of Error Exponents for Decision Feedback Scheme with LR+Th

T. Matsushima, S. Hirasawa, T. Niinomi, 2006 .

An improved method of reliability-based maximum likelihood decoding algorithms using an order relation among binary vectors

T. Matsushima, S. Hirasawa, H. Yagi, 2004 .

A New Class of Traceability Codes for Digital Fingerprinting(HISC2006)

Shigeichi Hirasawa, Toshiyasu Matsushima, Hideki Yagi, 2006 .

Parallel Architecture for Generalized LFSR in LSI Built-In Self Testing

Shigeichi Hirasawa, Toshiyasu Matsushima, Tomoko K. Matsushima, 1998 .

The Reliability based Hybrid ARQ Scheme with both the Encoded Parity Bit Retransmissions and Message Passing Decoding(HISC2006)

Shigeichi Hirasawa, Daiki Koizumi, Toshiyasu Matsushima, 2006 .

Inductive inference scheme at a finite stage of process from a view point of source coding

Shigeichi Hirasawa, Toshiyasu Matsushima, H. Inazumi, 1990 .

Probabilistic fault diagnosis and its analysis in multicomputer systems

Shigeichi Hirasawa, Manabu Kobayashi, Toshiyasu Matsushima, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Theoretical Analysis of the Advantage of Deepening Neural Networks pdf

Toshiyasu Matsushima, Yasushi Esaki, Yuta Nakahara, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

A Generalization of the Parallel Error Correcting Codes

Shigeichi Hirasawa, Toshiyasu Matsushima, Hideki Yagi, 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.

An inductive inference procedure to minimize prediction error

Shigeichi Hirasawa, Toshiyasu Matsushima, Hiroshige Inazumi, 1993, IEEE Trans. Syst. Man Cybern..

On Statistical Model Selection based on Bayes Decision Theory

Shigeichi Hirasawa, Toshiyasu Matsushima, Masayuki Gotoh, 1997 .

Probability Distribution on Full Rooted Trees pdf

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Reducing the space complexity of a Bayes coding algorithm using an expanded context tree

Shigeichi Hirasawa, Toshiyasu Matsushima, T. Matsushima, 2009, 2009 IEEE International Symposium on Information Theory.

Distributed Stochastic Gradient Descent Using LDGM Codes

Toshiyasu Matsushima, Takahiro Yoshida, Manabu Kobayashi, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Fast Algorithm for Generating Candidate Codewords in Reliability-Based Maximum Likelihood Decoding

Shigeichi Hirasawa, Toshiyasu Matsushima, Hideki Yagi, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Generalization and Extension of XEX* Mode

Toshiyasu Matsushima, Kazuhiko Minematsu, Kazuhiko Minematsu, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A Bayes coding algorithm using context tree

T. Matsushima, S. Hirasawa, 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

A Note on a Relationship between Smooth Locally Decodable Codes and Private Information Retrieval

T. Matsushima, Akira Kamatsuka, Takahiro Yoshida, 2020, 2020 International Symposium on Information Theory and Its Applications (ISITA).

Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes

Shota Saito, T. Matsushima, N. Ichijo, 2023, ArXiv.

A note on support recovery of sparse signals using linear programming

Shigeichi Hirasawa, Toshiyasu Matsushima, Shunsuke Horii, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Performance of Low-Density Parity-Check Codes for Burst Erasure Channels

Shigeichi Hirasawa, Toshiyasu Matsushima, Gou Hosoya, 2006 .

Batch Updating of a Posterior Tree Distribution over a Meta-Tree

T. Matsushima, Yuta Nakahara, 2023, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

Prediction Algorithm for Decision Tree Model

Shigeichi Hirasawa, Toshiyasu Matsushima, Tota Suko, 2003 .

Document classification method with small training data

Toshiyasu Matsushima, Yasunari Maeda, Hideki Yoshida, 2009, 2009 ICCAS-SICE.

A note on morphological analysis methods based on statistical decision theory

Y. Maeda, H. Yoshida, N. Ikeda, 2007, SICE Annual Conference 2007.

Moral Hazard and Other-Regarding Preferences

Pedro Rey Biel, Michihiro Kandori, M. Okuno-Fujiwara, 2003 .

Linear programming decoding of binary linear codes for symbol-pair read channels

Shigeichi Hirasawa, Toshiyasu Matsushima, Shunsuke Horii, 2015, 2016 IEEE International Symposium on Information Theory (ISIT).

An efficient design of irregular LDPC codes using beta approximation for the Gilbert-Elliott channel

T. Matsushima, S. Hirasawa, H. Yagi, 2008, 2008 International Symposium on Information Theory and Its Applications.

A Combined Matrix Ensemble of Low-Density Parity-Check Codes for Correcting a Solid Burst Erasure

Shigeichi Hirasawa, Toshiyasu Matsushima, Gou Hosoya, 2008 .

A Note on Error Correction Schemes using LDPC codes with a High-Capacity Feedback Channel

Shigeichi Hirasawa, Toshiyasu Matsushima, Naoto Kobayashi, 2007, 2007 IEEE International Symposium on Information Theory.

A Modification Method for Constructing Low-Density Parity-Check Codes for Burst Erasures

Shigeichi Hirasawa, Toshiyasu Matsushima, Gou Hosoya, 2006, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A note on a decoding algorithm of codes on graphs with small loops

Shigeichi Hirasawa, Toshiyasu Matsushima, Naoto Kobayashi, 2005, IEEE Information Theory Workshop, 2005..

A Decoding Method of Low-Density Parity-Check Codes Over the Binary Erasure Channel

Shigeichi Hirasawa, Toshiyasu Matsushima, Gou Hosoya, 2004 .

Hyperparameter Learning of Bayesian Context Tree Models

Shota Saito, T. Matsushima, Yuta Nakahara, 2023, 2023 IEEE International Symposium on Information Theory (ISIT).

Bayes code for two-dimensional auto-regressive hidden Markov model and its application to lossless image compression

Toshiyasu Matsushima, Yuta Nakahara, T. Matsushima, 2020, Other Conferences.

Information spectrum approach to overflow probability of variable-length codes with conditional cost function

Toshiyasu Matsushima, Ryo Nomura, T. Matsushima, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Evaluation of overflow probability of Bayes code in moderate deviation regime

Toshiyasu Matsushima, Shota Saito, Shota Saito, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Tweakable Enciphering Schemes from Hash-Sum-Expansion

Toshiyasu Matsushima, Kazuhiko Minematsu, Kazuhiko Minematsu, 2007, INDOCRYPT.

An Algorithm for Computing the Secrecy Capacity of Broadcast Channels with Confidential Messages

Toshiyasu Matsushima, Tota Suko, Kensuke Yasui, 2007, 2007 IEEE International Symposium on Information Theory.

Cluster’s Number Free Bayes Prediction of General Framework on Mixture of Regression Models

Shota Saito, T. Matsushima, Yuta Nakahara, 2021, Journal of Statistical Theory and Applications.