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search results for Source coding
165 items matching your search terms
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Shota Saito、Toshiyasu Matsushima
Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression (2023)
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Yuta Nakahara、Toshiyasu Matsushima
A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It (2021)
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Shota Saito、Toshiyasu Matsushima
Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes (2020)
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Koshi Shimada、Shota Saito、Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section (2020)
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Koshi Shimada、Shota Saito、Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval (2021)
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Shota Saito、Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code (2020)
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中原悠太、松嶋敏泰
An Autoregressive Image Generative Model and the Bayes Code for It (2020)
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Yuta Nakahara、Toshiyasu Matsushima
A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It (2019)
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Shota Saito、Toshiyasu Matsushima
On Two Information Quantities Relating Two Distortion Balls (2020)
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Yuta Nakahara、Toshiyasu Matsushima
Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them (2020)
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Yuta Nakahara、Toshiyasu Matsushima
Bayes Code for 2-dimensional Auto-regressive Hidden Markov Model and Its Application to Lossless Image Compression (2019)
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Shota Saito、Toshiyasu Matsushima
Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion (2019)
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Nozomi Miya、Takahiro Yoshida、Hajime Jinushi
A Consideration on Extended Ternary Memoryless Sources with a Simple Construction of Binary Compact Codes (2019)
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Jun Yoshizawa、Shota Saito、Toshiyasu Matsushima
Variable-Length Intrinsic Randomness on Two Performance Criteria based on Variational Distance (2019)
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Shota Saito、Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code (2019)
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Kairi Suzuki、Akira Kamatsuka、Toshiyasu Matsushima
Optimal Estimating of the Magnitude of the change for Sources with Piecewise Constant Parameters under Bayesian Criterion (2019)
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Shota Saito、Toshiyasu Matsushima
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability (2018)
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Shota Saito
On Information Spectrum and Its Tail Probability (2017)
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Shota Saito
Non-Asymptotic and Asymptotic Analyses of Source Coding: An Approach from the Viewpoint of the Overflow Probability (2017)
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Shota Saito、Toshiyasu Matsushima
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion (2018)