11 citations · 19 across the 6 of their papers we have counts for
10 papers
An Algorithm for Computing the Stratonovich's Value of Information
Akira Kamatsuka, Takahiro Yoshida, Koki Kazama +1
We propose an algorithm for computing Stratonovich's value of information (VoI) that can be regarded as an analogue of the distortion-rate function. We construct an alternating opt…
Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing
Ryohei Oka, Yuta Nakahara, Toshiyasu Matsushima
This study deals with two-dimensional (2D) signal processing using the wavelet packet transform. When the basis is unknown the candidate of basis increases in exponential order wit…
A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off
Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima
The Stratonovich's value of information (VoI) is quantity that measure how much inferential gain is obtained from a perturbed sample under information leakage constraint. In this p…
Probability Distribution on Rooted Trees
Yuta Nakahara, Shota Saito, Akira Kamatsuka +1
The hierarchical and recursive expressive capability of rooted trees is applicable to represent statistical models in various areas, such as data compression, image processing, and…
A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It
Yuta Nakahara, Toshiyasu Matsushima
In information theory, lossless compression of general data is based on an explicit assumption of a stochastic generative model on target data. However, in lossless image compressi…
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval
Koshi Shimada, Shota Saito, Toshiyasu Matsushima
The context tree source is a source model in which the occurrence probability of symbols is determined from a finite past sequence, and is a broader class of sources that includes…