Listar INIT_Articles por título
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Spatio‐temporal classification in point patterns under the presence of clutter.
Wiley (2019-08-23)We consider the problem of detection of features in the presence of clutter forspatio-temporal point patterns. In previous studies, related to the spatial context,Kth nearest-neighbor distances to classify points between ... -
Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This ... -
Speeding up the cyclic edit distance using LAESA with early abandon
Elsevier (2015)The cyclic edit distance between two strings is the minimum edit distance between one of this strings and every possible cyclic shift of the other. This can be useful, for example, in image analysis where strings describe ... -
Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures
Springer-Verlag (2012)Log-polar imaging is a kind of foveal, biologically inspired visual representation with advantageous properties in practical applications in computer vision, robotics, and other fields. While the cheapest, most flexible, ... -
Spherical panorama compositing through depth estimation
Springer (2021-09-01)In this paper, we propose to work in the 2.5D space of the scene to facilitate composition of new spherical panoramas. For adding depths to spherical panoramas, we extend an existing method that was designed to estimate ... -
Statistical significance of normalized global alignment
(2015-07-01)The comparison of homologous proteins from different species is a first step toward a function assignment and a reconstruction of the species evolution. Though local alignment is mostly used for this purpose, global alignment ... -
Stereology with cylinder probes
International Society for Stereology (2020)Intersection formulae of Croton type for general geometric probes are well known in integral geometry. For the special case of cylinders with non necessarily convex direktrix, however, no equivalent formula seems to exist ... -
Stochastic smoothing of point processes for wildlife-vehicle collisions on road networks (Epub ahead of print)
Springer (2021-09-04)Wildlife-vehicle collisions on road networks represent a natural problem between human populations and the environment, that affects wildlife management and raise a risk to the life and safety of car drivers. We propose a ... -
Strong spatial dispersion in time-modulated dielectric media
American Physical Society (2020)We present an effective medium description of time-modulated dielectric media. By taking the averaged fields over one modulation period, the relationship between them is derived, therefore defining the different ... -
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes
MDPI (2021-08-31)The doubly stochastic mechanism generating the realizations of spatial log-Gaussian Cox processes is empirically assessed in terms of generalized entropy, divergence and complexity measures. The aim is to characterize ... -
Study of Convolutional Neural Networks for Global Parametric Motion Estimation on Log-Polar Imagery
Institute of Electrical and Electronics Engineers (2020-08-12)The problem of motion estimation from images has been widely studied in the past. Although many mature solutions exist, there are still open issues and challenges to be addressed. For instance, in spite of the well-known ... -
Subgroups of direct products closely approximated by direct sums
De Gruyter (2017-09)Let I be an infinite Π set, fGi : i 2 Ig be a family of (topological) groups and G = i∈I Gi be its direct product. For J I, pJ : G ! Π j∈J Gj denotes the projection. We say that a subgroup H of G is: (i) uniformly ... -
Substationarity for spatial point processes
Elsevier Inc. (2019-05)This article aims to introduce the concept of substationarity for spatial point processes (SPPs). Substationarity is a new concept that has never been studied in the literature. Substationarity means that the distribution ... -
Sucre4Stem: Collaborative Projects Based on IoT Devices for Students in Secondary and Pre-University Education
IEEE (2022-04-12)This paper describes a new technological evolution of the Sucre project, which aims to foster a vocation for science and develop computational thinking and programming skills in pre-university students. This improved version ... -
Supervised classification of geometrical objects by integrating currents and functional data analysis
Springer Verlag (2019)This paper focuses on the application of supervised classification techniques to a set of geometrical objects (bodies) characterized by currents, in particular, discriminant analysis and some nonparametric methods. A current ... -
Supporting Connectivism in Knowledge Based Engineering with Graph Theory, Filtering Techniques and Model Quality Assurance
Elsevier (2018-10)Mass-customization has forced manufacturing companies to put significant efforts to digitize and automate their engineering and production processes. When new products are to be developed and introduced the production is ... -
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
Springer (2012)Many traditional approaches to pattern classifi- cation assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the ratios ... -
Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era
MDPI (2020-09-23)Some of the recent developments in data science for worldwide disease control have involved research of large-scale feasibility and usefulness of digital contact tracing, user location tracking, and proximity detection ... -
Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems
(2019-11-22)Although various algorithms have widely been studied for bankruptcy and credit risk prediction, conclusions regarding the best performing method are divergent when using different performance assessment metrics. As a ...