Listar Institute of New Imaging Technologies (INIT) por título

Mostrando ítems 42-61 de 854

    • openAccess   A New Approach to Detect Hand-Drawn Dashed Lines in Engineering Sketches 

      Plumed, Raquel; Contero, Manuel; Naya, Ferran; Company, Pedro MDPI (2024-05-09)
      Sketched drawings sometimes include non-solid lines drawn as sets of consecutive strokes. They represent dashed lines, which are useful for various purposes. Recognizing such dashed lines while parsing drawings is reasonably ...

    • openAccess   A new approach to visual-based sensory system for navigation into orange groves 

      Torres-Sospedra, Joaquín; Nebot Roglá, Patricio MDPI Publishing (2011-04-06)
      One of the most important parts of an autonomous robot is to establish the path by which it should navigate in order to successfully achieve its goals. In the case of agricultural robotics, a procedure that determines this ...

    • openAccess   A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution 

      Haut, Juan M.; Fernandez-Beltran, Ruben; Paoletti, Mercedes Eugenia; Plaza, Javier; Plaza, Antonio; Pla, Filiberto IEEE (2018-11)
      Super-resolution (SR) brings an excellent opportunity to improve a wide range of different remote sensing applications. SR techniques are concerned about increasing the image resolution while providing finer spatial details ...

    • closedAccess   A new extrinsic sample mean in the shape space with applications to the boundaries of anatomical structures 

      Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia Wiley (2016-02-16)
      Shape analysis is of great importance in many fields of medical imaging and computational biology. In this paper, we consider the shape space as the set of smooth planar immersed curves in inline image (parameterized curves) ...

    • openAccess   A New Geometric Metric in the Shape and Size Space of Curves in R n 

      Epifanio, Irene; Gimeno, Vicent; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria MDPI (2020-10-01)
      Shape analysis of curves in Rn is an active research topic in computer vision. While shape itself is important in many applications, there is also a need to study shape in conjunction with other features, such as scale and ...

    • openAccess   A new HLA-based distributed control architecture for agricultural teams of robots in hybrid applications with real and simulated devices or environments 

      Nebot Roglá, Patricio; Torres-Sospedra, Joaquín; Martínez, Rafael J. MDPI Publishing (2011-04-14)
      The control architecture is one of the most important part of agricultural robotics and other robotic systems. Furthermore its importance increases when the system involves a group of heterogeneous robots that should ...

    • openAccess   A New Under-Sampling Method to Face Class Overlap and Imbalance 

      Guzmán-Ponce, Angélica; Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador; Marcial-Romero, J. Raymundo MDPI (2020-07-07)
      Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ...

    • closedAccess   A nonparametric test for the comparison of first-order structures of spatial point processes 

      Fuentes Santos, I.; González-Manteiga, Wenceslao; Mateu, Jorge Elsevier (2017)
      Comparing the spatial distribution of two spatial point patterns is an important issue in many scientific areas such as ecology, epidemiology or environmental risk assessment. However, up to date, the analysis of multitype ...

    • closedAccess   A note on smoothness measures for space-time surfaces 

      Bohorquez Castañeda, Martha Patricia; Mateu, Jorge; Díaz, Laura Springer Verlag (2013-09)
      The differentiability of a random field has a direct relationship with the differentiability of its covariance function. We review the concept of differentiability of space–time covariance models and random fields, and its ...

    • openAccess   A note on the p-parabolicity of submanifolds 

      Hurtado, Ana; Palmer Andreu, Vicente Springer Science+Business Media B.V. (2011)
      We give a geometric criterion which shows p-parabolicity of a class of submanifolds in a Riemannian manifold, with controlled second fundamental form, for p ≥ 2.

    • openAccess   A novel method for in-home Gait Speed estimation in Health Monitoring Using Bluetooth Low Energy 

      Aranda Polo, Fernando Jesús; Álvarez, Fernando J.; Parralejo Rodríguez, Felipe; Sansano-Sansano, Emilio; Montoliu Colás, Raul IEEE (2021)
      Gait speed (GS) is a crucial parameter in the evolution and diagnosis of degenerative illnesses. Nowadays, it is measured in clinical environments where it is impossible to keep track of all patients due to the lack of ...

    • closedAccess   A penalized likelihood method for nonseparable space–time generalized additive models 

      Mosammam, Ali M.; Mateu, Jorge Springer Verlag (2018-07)
      In this paper, we study space-time generalized additive models. We apply the penalyzed likelihood method to fit generalized additive models (GAMs) for nonseparable spatio-temporal correlated data in order to improve the ...

    • openAccess   A radiosity-based method to avoid calibration for Indoor Positioning Systems 

      Belmonte-Fernández, Óscar; Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Sansano-Sansano, Emilio; Chia-Aguilar, Daniel Elsevier (2018-09-01)
      Due to the widespread use of mobile devices, services based on the users current indoor location are growing in significance. Such services are developed in the Machine Learning and Experst Systems realm, and ranges from ...

    • openAccess   A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition 

      Torres-Sospedra, Joaquín; Moreira, Adriano; Knauth, Stefan; Berkvens, Rafael; Montoliu Colás, Raul; Belmonte-Fernández, Óscar; Trilles, Sergio; Nicolau, Maria João; Meneses, Filipe; Costa, António; Koukofikis, Athanasios; Weyn, Maarten; Peremans, Herbert IOS press (2017-02)
      This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL–ETRI ...

    • openAccess   A regression model based on the nearest centroid neighborhood 

      García, Vicente; Sánchez Garreta, Josep Salvador; Marqués Marzal, Ana Isabel; Martínez-Peláez, Rafael Springer Verlag (2018)
      The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also ...

    • openAccess   A scoping review on the use, processing, and fusion of geographic data in virtual assistants 

      Granell, Carlos; Pesántez-Cabrera, Paola; Vilches-Blázquez, Luis M.; Achig, Rosario; Luaces, Miguel R.; Cortiñas, Alejandro; Chayle, Carolina; Morocho, Villie Wiley (2021)
      Virtual assistants are a growing area of research in academia and industry with an impact on people’s daily life. Many disciplines in science are moving towards the incorporation of intelligent virtual ...

    • closedAccess   A second-order test to detect spatio-temporal anisotropic effects in point patterns 

      Comas Rodríguez, Carlos; Conde, J.; Mateu, Jorge Taylor & Francis (2018)
      Second-order spatio-temporal orientation methods provide a natural tool for the analysis of anisotropic spatio-temporal point process data. In this paper, we generalize a method based on the spatial point pair orientation ...

    • closedAccess   A semiparametric spatiotemporal Hawkes-type point process model with periodic background for crime data 

      Zhuang, Jiancang; Mateu, Jorge Wiley (2018-12)
      Past studies have shown that crime events are often clustered. This study proposes a spatiotemporal Hawkes-type point process model, which includes a background component with daily and weekly periodization, and a ...

    • openAccess   A set of deep learning algorithms for air quality prediction applications 

      Iskandaryan, Ditsuhi; Ramos, Francisco; Trilles, Sergio Elsevier (2023)
      This paper presents a set of machine learning algorithms, including grid-based (Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) algorithms to predict air ...

    • closedAccess   A simple two-step method for spatio-temporal design-based balanced sampling 

      Khavarzadeh, Ramin; Mohammadzadeh, Mohsen; Mateu, Jorge Springer Berlin Heidelberg (2017)
      We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach. For populations with spatio-temporal trends and with anisotropic effects in the variable of interest, the prediction ...