年別の研究成果
年別の研究成果
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2022
Probability Distribution on Rooted Trees
Nakahara, Y., Saito, S., Kamatsuka, A. & Matsushima, T., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 174-179 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June).研究成果
1 被引用数 (Scopus) -
Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion
Nakahara, Y. & Matsushima, T., 2022, Proceedings - DCC 2022: 2022 Data Compression Conference. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 153-162 10 p. (Data Compression Conference Proceedings; vol. 2022-March).研究成果
1 被引用数 (Scopus) -
2021
Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding
Nakahara, Y. & Matsushima, T., 2021, 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings).研究成果: Conference contribution
1 被引用数 (Scopus) -
2020
A stochastic model of block segmentation based on the quadtree and the bayes code for it
Nakahara, Y. & Matsushima, T., 2020 3月, Proceedings - DCC 2020: Data Compression Conference. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 293-302 10 p. 9105877. (Data Compression Conference Proceedings; vol. 2020-March).研究成果: Conference contribution
4 被引用数 (Scopus) -
Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them
Nakahara, Y. & Matsushima, T., 2020 10月 24, Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc., p. 81-85 5 p. 9366177. (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020).研究成果: Conference contribution
3 被引用数 (Scopus) -
Bayes Code for 2-dimensional auto-regressive Hidden Markov model and its application to lossless image compression
Nakahara, Y. & Matsushima, T., 2020, International Workshop on Advanced Imaging Technology, IWAIT 2020. Lau, P. Y. & Shobri, M. (eds.). SPIE, 115151T. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11515).研究成果: Conference contribution
3 被引用数 (Scopus) -
Theoretical Analysis of the Advantage of Deepening Neural Networks
Esaki, Y., Nakahara, Y. & Matsushima, T., 2020 12月, Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020. Wani, M. A., Luo, F., Li, X., Dou, D. & Bonchi, F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 479-484 6 p. 9356275. (Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020).研究成果: Conference contribution
1 被引用数 (Scopus) -
2019
Covariance Evolution for Spatially 'Mt. Fuji' Coupled LDPC Codes
Nakahara, Y. & Matsushima, T., 2019 8月, 2019 IEEE Information Theory Workshop, ITW 2019. Institute of Electrical and Electronics Engineers Inc., 8989366. (2019 IEEE Information Theory Workshop, ITW 2019).研究成果: Conference contribution
1 被引用数 (Scopus) -
2017
Spatially 'Mt. Fuji' coupled LDPC codes
Nakahara, Y., Saito, S. & Matsushima, T., 2017 2月 2, Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016. Institute of Electrical and Electronics Engineers Inc., p. 201-205 5 p. 7840414研究成果: Conference contribution
1 被引用数 (Scopus)