High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization

In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse model as regularized constraints under the regularization framework. Estimating the high-resolution image by the local AR regularization is different from these conventional AR models, which weighted calculates the interpolation coefficients without considering the rough structural similarity between the low-resolution (LR) and high-resolution (HR) images. Then the nonlocal adaptive 3-D sparse model is formulated to regularize the interpolated HR image, which provides a way to modify these pixels with the problem of numerical stability caused by AR model. In addition, a new Split-Bregman based iterative algorithm is developed to solve the above optimization problem iteratively. Experiment results demonstrate that the proposed algorithm achieves significant performance improvements over the traditional algorithms in terms of both objective quality and visual perceptionComment: 4 pages, 5 figures, 2 tables, to be published at IEEE Visual Communications and Image Processing (VCIP) 201

Estimation of Gaussian process regression model using probability distance measures

A new class of parameter estimation algorithms is introduced for Gaussian process regression (GPR) models. It is shown that the integration of the GPR model with probability distance measures of (i) the integrated square error and (ii) Kullback–Leibler (K–L) divergence are analytically tractable. An efficient coordinate descent algorithm is proposed to iteratively estimate the kernel width using golden section search which includes a fast gradient descent algorithm as an inner loop to estimate the noise variance. Numerical examples are included to demonstrate the effectiveness of the new identification approaches

産業集積持続のための商人的調整者に関する研究 : 中国の非ハイテク型産業集積の事例分析を中心に [論文要旨及び審査の要旨]

関西大

産業集積持続のための商人的調整者に関する研究 : 中国の非ハイテク型産業集積の事例分析を中心に

関西大

Decline of Local Industrial Clusters in Japan and the Role of Merchant Coordinators for Sustainable Development of These Clusters

This study describes the present situation of the Chemical Shoes industrial cluster in Kobe city to empirically clarify issues related to Japanese industrial clusters. It reviews the extant literature on linkage firms and focuses on the crucial role that they play in the sustainability of industrial clusters. Additionally, a new rationale for the sustainability of industrial clusters is provided, and "merchant coordinators" are described as the new leading actors in the sustainability of industrial clusters by applying commercial theory, value network theory, and the latest network theory of community capital. Furthermore, the rationale for transcending beyond geographical constraints and the hidden cause for the difficulties faced by industrial clusters in being sustainable are explained. Finally, a hypothetical process model for the sustainability of industrial clusters is proposed by focusing on linkage firms and merchant coordinators.This paper is supported in part by a Grant-in-aid (KAKENHI) from Japan Society for the Promotion of Science (Project Number : 18H009090 & 18K018771)