The rapid and accurate damage assessment of buildings plays a critical role in disaster response. Based on pairs pre- post-disaster remote sensing images, effective building level can be conducted. However, most existing methods are based Convolutional Neural Network, which has limited ability to learn the global context. An attention mechanism helps ameliorate this problem. Hierarchical Transf...

Agglomerative hierarchical clustering methods based on Gaussian probability models have recently shown promise in a variety of applications. In this approach, a maximum-likelihood pair of clusters is chosen for merging at each stage. Unlike classical methods, model-based methods reduce to a recurrence relation only in the simplest case, which corresponds to the classical sum of squares method. ...

BACKGROUND Occupational studies often involve multiple comparisons and therefore suffer from false positive findings. Semi-Bayes adjustment methods have sometimes been used to address this issue. Hierarchical regression is a more general approach, including Semi-Bayes adjustment as a special case, that aims at improving the validity of standard maximum-likelihood estimates in the presence of mu...

This article aims to investigate the location of dry ports by providing a two-stage GIS-optimization model. At the first stage, the appropriate points for establishing dry ports were identified using GIS and hierarchical analysis process; then, the suitable points were introduced as the potential points to the second stage model. At the second stage, by providing a multi-objective integer model...

We propose a two-stage hierarchical arti®cial neural network for the segmentation of color images based on the Kohonen self-organizing map (SOM). The ®rst stage of the network employs a ®xed-size two-dimensional feature map that captures the dominant colors of an image in an unsupervised mode. The second stage combines a variable-sized one-dimensional feature map and color merging to control th...

BACKGROUND Genetic association studies are generating much information, usually in the form of single nucleotide polymorphisms in candidate genes. Analyzing such data is challenging, and raises issues of multiple comparisons and potential false-positive associations. Using data from a case-control study of bladder cancer, we showed how to use hierarchical modeling in genetic epidemiologic studi...

This paper presents a pipelined architecture for the hierarchical block-matching motion estimation algorithm (HBMA). The hierarchical style leads enormous computation and complex data flow between hierarchy levels. Each stage of the proposed architecture consists of a systolic array for block-matching and an interpolation unit for bilinear interpolation. The interpolation unit regulates also th...