Transductive graph-based semisupervised learning methods usually build an undirected graph utilizing both labeled and unlabeled samples as vertices. Those methods propagate label information of labeled samples to neighbors through their edges in order to get the predicted labels of unlabeled samples. Most popular semi-supervised learning approaches are sensitive to initial label distribution wh...

following the changes in the paradigm of urban studies in recent years, sustainability has become an increasingly important issue in the neighborhood’s planning and designing. however, this concept has originally been developed for american and european neighborhoods’ planning, it could also be customized for other neighborhoods’. additionally, in the neighborhood scale, the quality parameter f...

Land cover classification from remote sensing multispectral images has been traditionally conducted by using mainly spectral information associated with discrete spatial units (i.e. pixels). Geometric and topological characteristics of the spatial context close to every pixel have been either not fully treated or completely ignored. This article provides a review of the strategies used by a num...

Granular Computing on partitions (RST), coverings (GrCC) and neighborhood systems (LNS) are examined: 1. The order of generality is RST, GrCC, and then LNS 2. The quotient structure: In RST, it is called quotient set. In GrCC, it is a simplical complex, called the nerve of the covering in combinatorial topology. For LNS, the structure has no known description. 3. The approximation space of RST ...

In this paper, we present a topological neighborhood expression which allows us to express arbitrary neighborhood around cells in unstructured meshes. We show that the expression can be evaluated by traversing the connectivity information of the meshes. We implemented two algebraic operators which use the expression to compute neighbors of cells and approximate data fields of cells by aggregati...

Target classification techniques using spectral imagery and light detection and ranging (LiDAR) are widely used in many disciplines. However, none of the existing methods can directly capture spectral and 3D spatial information simultaneously. Multispectral LiDAR was proposed to solve this problem as its data combines spectral and 3D spatial information. Point-based classification experiments h...

By considering the bulk-edge correspondence of skyrmion crystal this work focused on relation topological properties to polarity ($Q_{\rm{sk}}$), next-nearest-neighbor hopping ($t'$), and exchange coupling ($J$). We found that by continually increasing skyrmions from 1 2, monopole-lattice phase dipole-lattice both span a wide range in parameter space demonstrating robustness. While next-nearest...

BACKGROUND Physical activity (PA) has numerous health benefits, but older adults live mostly sedentary lifestyles. The physical and social neighborhood environment may encourage/dissuade PA. In particular, neighborhood crime may lead to feeling unsafe and affect older adults' willingness to be physically active. Yet, research on this topic is still inconclusive. Older population, probably the a...

The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space S ⊂ R into labeled regions. This holds true even when the original data are functional in nature, i.e. curves or surfaces that are inherently varying over a continuum such as time or space. Functional data are often reduced ...