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On convergent sequences in dual groups
Real Academia de Ciencias Exactas, Físicas y Naturales (2020-01-16)We provide some characterizations of precompact abelian groups G whose dual group G∧ p endowed with the pointwise convergence topology on elements of G contains a nontrivial convergent sequence. In the special case of ... -
On hidden Markov models and cyclic strings for shape recognition
Elsevier (2014)Shape descriptions and the corresponding matching techniques must be robust to noise and invariant to transformations for their use in recognition tasks. Most transformations are relatively easy to handle when contours ... -
On Hyperspectral Remote Sensing of Leaf Biophysical Constituents: Decoupling Vegetation Structure and Leaf Optics Using CHRIS–PROBA Data Over Crops in Barrax
IEEE (2014)Scattering from a leaf responds differently at different wavelengths to changes in leaf properties such as pigment concentrations, chemical constituents, internal structure, and leaf-surface properties. Radiation scattered ... -
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, ... -
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 ... -
On Metrics for Location-Aware Games
MDPI (2017-09)Metrics are important and well-known tools to measure users’ behavior in games, and gameplay in general. Particularities of location-aware games—a class of games where the player’s location plays a central role-demand ... -
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 ... -
On Some Statistical Properties of the Spatio-Temporal Product Density
Universidad Nacional de Colombia (2021)We present an extension of the non-parametric edge-corrected Ohser-type kernel estimator for the spatio-temporal product density function. We derive the mean and variance of the estimator and give a closed-form ... -
On the characterization of parabolicity and hyperbolicity of submanifolds
London Mathematical Society (2011-08)We give a set of sufficient and necessary conditions for parabolicity and hyperbolicity of a submanifold with controlled mean curvature in a Riemannian manifold with a pole and with sectional curvatures bounded from above ... -
On the convergence of adaptive gPC for non-linear random difference equations: Theoretical analysis and some practical recommendations
International Scientific Research Publications (2018-06-19)In this paper, the application of adaptive generalized polynomial chaos (gPC) to quantify the uncertainty for non-linear random difference equations is analyzed. It is proved in detail that, under certain assumptions, the ... -
On the Dynamic Time Warping of Cyclic Sequences for Shape Retrieval
Elsevier (2012)In the last years, in shape retrieval, methods based on Dynamic Time Warping and sequences where each point of the contour is represented by elements of several dimensions have had a significant presence. In this approach ... -
On the effects of the fix geometric constraint in 2D profiles on the reusability of parametric 3D CAD models
Springer-Verlag (2018-06)In order to be reusable, history-based feature-based parametric CAD models must reliably allow for modifications while maintaining their original design intent. In this paper, we demonstrate that relations that fix the ... -
On the Integration of Model-Based Feature Information in Product Lifecycle Management Systems
Elsevier (2017-12)As CAD models continue to become more critical information sources in the product’s lifecycle, it is necessary to develop efficient mechanisms to store, retrieve, and manage larger volumes of increasingly complex data. ... -
On the performance of two clustering methods for spatial functional data
Springer Verlag (2015-10)The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by ... -
On the Role of Geometric Constraints to Support Design Intent Communication and Model Reusability
CAD Solutions (2020)The assurance of model quality in parametric CAD implies that designers must build models that facilitate reuse while retaining their design intent when modified. In this context, a suitable selection of geometric constraints ... -
On the suitability of resampling techniques for the class imbalance problem in credit scoring
Palgrave Macmillan (2013)In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison with the class of non-defaulters is a very common situation, but it has still received little attention. ... -
On the trend detection of time-ordered intensity images of point processes on linear networks
Taylor & Francis (2023)Spatial point processes on linear networks are increasingly getting attention in different disciplines such as traffic accidents and street crime analysis. Dealing with a set of time-ordered point patterns on a linear ... -
On the use of data filtering techniques for credit risk prediction with instance-based models
Elsevier (2012)Many techniques have been proposed for credit risk prediction, from statistical models to artificial intelligence methods. However, very few research efforts have been devoted to deal with the presence of noise and outliers ... -
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
Elsevier (2012)The present paper investigates the influence of both the imbalance ratio and the classifier on the performance of several resampling strategies to deal with imbalanced data sets. The study focuses on evaluating how learning ... -
On wavelet-based energy densities for spatial point processes
Springer (2013-08)A spatial point process can be considered a random measure and therefore represented as a countable sum of Delta Dirac measures concentrated at some points of the process. Applying a two-dimensional continuous wavelet ...