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On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scaling
(Wiley, 2015-03)
This paper presents a collection of dissimilarity measures to describe and then classify spatial point patterns when multiple replicates of different types are available for analysis. In particular, we consider a range of ...
A distance-based model for spatial prediction using radial basis functions
(Springer Berlin Heidelberg, 2018)
In the context of local interpolators, radial basis functions (RBFs) are known to reduce the computational time by using a subset of the data for prediction purposes. In this paper, we propose a new distance-based spatial ...
Imaging through scattering media with single-pixel detection
(SPIE, 2017)
We describe a method to image objects through scattering media based on single-pixel detection and microstructured illumination. Spatial light modulators are used to project a set of microstructured light patterns onto the ...
Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting
(Springer, 2018)
The construction and update of a radio map are usually referred as the main drawbacks of WiFi fingerprinting, a very popular method in indoor localization research. For radio map update, some studies suggest taking new ...
Advancing preuniversity students' computational thinking skills through an educational project based on tangible elements and virtual block‐based programming
(Wiley, 2020-11)
University students enroling in Science, Technology, Engineering and Mathematics (STEM)‐related studies such as computer science continue to decline, even though worldwide educational policy reports warn about the need for ...
Nonparametric tilted density function estimation: A cross-validation criterion
(Elsevier, 2018-12)
In this paper, we propose a tilted estimator for nonparametric estimation of a density function. We use a cross-validation criterion to choose both the bandwidth and the tilted estimator parameters. We demonstrate theoretically ...
Depth estimation improvement in 3D integral imaging using an edge removal approach
(Springer, 2018)
A new depth estimation method for 3D reconstruction in a synthetic aperture integral imaging framework is presented. This
method removes the edges of the objects in the elemental images when the objects are in focus. This ...
On kernel-based intensity estimation of spatial point patterns on linear networks
(Taylor & Francis, 2018-04)
We propose an extension of Diggle’s nonparametric edge-corrected kernel-based intensity estimator to the case of events coming from an inhomogenous point pattern on a linear network. We analyze its statistical properties, ...
Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation
(Elsevier, 2020)
Aside from reviewing different intensity estimation schemesfor point processes on linear networks, this paper introducestwo Voronoi-based intensity estimation approaches for spatio-temporal linear network point processes. ...
On new families of anisotropic spatial log-Gaussian Cox processes
(Springer, 2020)
Cox processes are natural models for point process phenomena that are environmentally driven, but much less natural for phenomena driven primarily by interactions amongst the points. The class of log-Gaussian Cox processes ...