According to the characteristics of massive, multi-source, heterogeneous, and rapid growth book literature data information from perspective metaverse, in order meet requirements efficient management retrieval such as standardized storage, effective extraction, scientific library construction for unstructured massive heterogeneous in-formation, this study focuses on normalization multi-source d...

In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution are precious, they can provide detailed information for specific area. However, measurements with high resolution time-consuming and costly. Only few approaches exist create high-resolution extensive areas. This paper explores ...

This paper provides an extension of Vuong’s (1989, Econometrica, 57, pp.307–333) model selection test to the multivariate case. We use the Kullback–Leibler Information Criterion (KLIC) to measure the closeness of a model to the truth to provide a diagnosis of many competing models where the models are not correctly specified. After investigating the asymptotic joint distribution of the likeliho...

In sequential learning schemes, dynamic model adaptation is preferable over static model size selection. In this paper, we apply an incremental model selection approach to a locally updated Normalized Gaussian network (NGnet), and improve it for better robustness against negative interference. Model adaptation is enabled by applying some unit manipulation mechanisms, including a produce, delete...

We study the geometric structure of the statistical models for two-by-two contingency tables. One or two odds ratios are fixed and the corresponding models are shown to be a portion of a ruled quadratic surface or a segment. Some pointers to the general case of two-way contingency tables are also given and an application to case-control studies is presented.

Treemaps are a popular technique to visualize hierarchical data. The input is a weighted tree T where the weight of each node is the sum of the weights of its children. A treemap for T is a hierarchical partition of a rectangle into simply connected regions, usually rectangles. Each region represents a node of T and the area of each region is proportional to the weight of the corresponding node...

We propose a computational model for how the cortex discriminates shape and depth from texture. The model consists of four stages: (1) extraction of local spatial frequency, (2) frequency characterization, (3) detection of texture compression by normalization, and (4) integration of the normalized frequency over space. The model accounts for a number of psychophysical observations including exp...