HIGHLIGHTS
- who: Yuta Nakahara and Toshiyasu Matsushima from the Center for Data Science, Waseda University, Nisniwaseda, Shinjuku-ku, Tokyo, Japan have published the research: Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion, in the Journal: Entropy 2022, 24, 1152. of /2022/
- what: The authors proposed a stochastic model based on improper quadtrees. The authors propose an algorithm that takes a polynomial order of calculation without losing optimality by assuming a novel prior distribution. The authors focus on the procedure of the constructed algorithm. The aim of the first . . .
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