Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

This article addresses the following research question: How to compute no-wait schedules
and multipath routings for large-scale time-sensitive networks (TSNs)? TSN must guarantee …

Clustering is a major approach in data mining and machine learning and has been
successful in many real-world applications. Density peaks clustering (DPC) is a recently …

Graph-based clustering methods have achieved remarkable performance by partitioning the
data samples into disjoint groups with the similarity graph that characterizes the sample …

This article theoretically and empirically analyzes leader corporations' innovation processes
in contemporary capitalism. We highlight three characteristics: their transnational scope, the …

Developing a robust algorithm for automatic individual tree crown (ITC) detection from
airborne laser scanning (ALS) data sets is important for tracking the responses of trees to …

It is crucial to evaluate the quality of clustering results in cluster analysis. Although many
cluster validity indices (CVIs) have been proposed in the literature, they have some …

Applying deep-learning methods, especially fully convolutional networks (FCNs), has
become a popular option for land-cover classification or segmentation in remote sensing …

Distinguishing between geometric features and noise is of paramount importance for mesh
denoising. In this paper, a graph-based feature-preserving mesh normal filtering scheme is …

Современные дистанционно пилотируемые аппараты (ДПА) представляют собой
сложные технические комплексы, позволяющими решать достаточно широкий круг …