Listar Institute of New Imaging Technologies (INIT) por título

Mostrando ítems 372-391 de 843

    • openAccess   Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras 

      Marina-Miranda, Javier; Traver Roig, Vicente Javier IEEE (2022-06-08)
      Non-verbal communication plays a particularly important role in a wide range of scenarios in Human-Robot Interaction (HRI). Accordingly, this work addresses the problem of human gesture recognition. In particular, we focus ...

    • closedAccess   Heteroskedastic geographically weighted regression model for functional data 

      Romano, Elvira; Mateu, Jorge; Butzbach, O. Elsevier (2020)
      A large number of approaches for modelling spatially dependent functional variables often assume that the functional regression coefficients are constant over the region of interest. However, in many occasions it is far ...

    • openAccess   Hierarchical clustering of spatially correlated functional data 

      Giraldo, Ramón; Delicado, Pedro; Mateu, Jorge John Wiley & Sons (2012-11)
      Classification problems of functional data arise naturally in many applications. Several approaches have been considered for solving the problem of funding groups based on functional data. In this paper we are interested ...

    • openAccess   Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach 

      Juan, Pablo; Díaz-Avalos, Carlos; Mejía-Domínguez, Nancy R.; Mateu, Jorge Springer Verlag (2016)
      We modeled the spatial distribution of the most important Chagas disease vectors in Argentina, in order to obtain a predictive mapping method for the probability of presence of the vector species. We analyzed both the ...

    • openAccess   High leverage detection in general functional regression models with spatially correlated errors 

      Romano, Elvira; Giraldo, Ramón; Mateu, Jorge; Diana, Andrea Wiley (2021)
      The presence of curves that deviate markedly from the core of a set of curves can greatly affect inference and forecasting in a functional regression model. Thus their detection is key to increase the accuracy of the ...

    • openAccess   High photocatalytic activity of Ag/Ag3PO4:W heterostructure formed by femtosecond laser irradiation 

      Barrios Trench, Aline; Teodoro , Vinícius; G. da Trindade, Letícia; Machado, Thales Rafael; Mínguez-Vega, Gladys; Cordoncillo, Eloisa; Doñate-Buendía, Carlos; Andres, Juan; Longo, Elson Sao Paulo State University. Institute of Chemistry (2022-04-11)
      In this work, the W-doped Ag3PO4 was prepared by the chemical coprecipitation method and irradiated with a femtosecond laser (FL). The successful formation of the Ag/Ag3PO4:W heterostructure was confirmed by XRD analysis. ...

    • openAccess   High sampling rate single-pixel digital holography system employing a DMD and phase-encoded patterns 

      González, Humberto; Martínez-León, Lluís; Soldevila, Fernando; Araiza Esquivel, María A.; Lancis, Jesús; Tajahuerce, Enrique Optical Society of America (2018)
      A single-pixel digital holography system with phase-encoded illumination using a digital micromirror device (DMD) as a spatial light modulator (SLM) is presented. The enhanced switching rate of DMDs, far exceeding the ...

    • openAccess   High-quality resonances in quasi-periodic clusters of scatterers for flexural waves 

      Martí Sabaté, Marc; Guenneau, Sébastien; Torrent, Daniel American Institute of Physics (2022-07-04)
      Multiple scattering theory is applied to the study of clusters of point-like scatterers attached to a thin elastic plate and arranged in quasi-periodic distributions. Two types of structures are specifically considered: ...

    • openAccess   High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery 

      kang, jian; Fernandez-Beltran, Ruben; Ye, Zhen; Tong, Xiaohua; Ghamisi, Pedram; Plaza, Antonio MDPI (2020)
      Deep metric learning has recently received special attention in the field of remote sensing (RS) scene characterization, owing to its prominent capabilities for modeling distances among RS images based on their semantic ...

    • openAccess   High-resolution adaptive imaging with a single photodiode 

      Soldevila, Fernando; Salvador Balaguer, Eva; Clemente Pesudo, Pedro Javier; Tajahuerce, Enrique; Lancis, Jesús Nature Publishing Group (2015-09)
      During the past few years, the emergence of spatial light modulators operating at the tens of kHz has enabled new imaging modalities based on single-pixel photodetectors. The nature of single-pixel imaging enforces a ...

    • closedAccess   High-Sensitivity High-Speed Compressive Spectrometer for Raman Imaging 

      Sturm, Benneth; Soldevila, Fernando; Tajahuerce, Enrique; Gigan, Sylvain; Rigneault, Herve; de Aguiar, Hilton B. American Chemical Society (2019-04-25)
      Compressive Raman is a recent framework that allows for large data compression of microspectroscopy during its measurement. Because of its inherent multiplexing architecture, it has shown imaging speeds considerably higher ...

    • openAccess   Homogenization of piezoelectric planar Willis materials undergoing antiplane shear 

      Muhafra, Alan; Kosta, Majd; Torrent, Daniel; Pernas Salomón, René; Shmuel, Gal Elsevier (2021-10-09)
      Homogenization theories provide models that simplify the constitutive description of heterogeneous media while retaining their macroscopic features. These theories have shown how the governing fields can be macroscopically ...

    • openAccess   Homomorphic Encoders of Profinite Abelian Groups II 

      Ferrer, María V.; Hernández, Salvador MDPI (2022-03-29)
      Let {Gi:i∈N} be a family of finite Abelian groups. We say that a subgroup G≤∏i∈NGi is order controllable if for every i∈N, there is ni∈N such that for each c∈G, there exists c1∈G satisfying c1|[1,i]=c|[1,i], supp(c1)⊆[1,ni], ...

    • openAccess   How Earth Observation, Crop Modeling, and ICT can help rice cultivation: the ERMES project 

      Casteleyn, Sven; Granell, Carlos; Trilles, Sergio; Huerta, Joaquin; BOSCHETTI, MIRCO; Busetto, Lorenzo; Pepe, Monica; Katsantonis, Dimitrios; Confalonieri, Roberto; Holecz, Francesco; García Haro, Javier; Gitas, Ioannis AGILE Digital Editions (2014-06)
      Due to pressure of food demand, increased price competition and demand for sustainable farming practices, it’s increasingly important to optimize agricultural practices. The European FP7 project ERMES focuses specifically ...

    • openAccess   Human gesture recognition under degraded environments using 3D-integral imaging and deep learning 

      Krishnan, Gokul; Joshi, Rakesh; O’Connor, Timothy; Pla, Filiberto; Javidi, Bahram Optical Society of America (2020)
      In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of ...

    • closedAccess   Human gesture recognition using three-dimensional integral imaging 

      Traver Roig, Vicente Javier; Latorre Carmona, Pedro; Salvador Balaguer, Eva; Pla, Filiberto; Javidi, Bahram Optical Society of America (2014)
      Three-dimensional (3D) integral imaging allows one to reconstruct a 3D scene, including range information, and provides sectional refocused imaging of 3D objects at different ranges. This paper explores the potential use ...

    • closedAccess   Hyperspectral remote sensing of foliar nitrogen content 

      Knyazikhin, Yuri; Schull, Mitchell A.; Stenberg, Pauline; Mõttus, Matti; Rautiainen, Miina; Yang, Yan; Marshak, Alexander; Latorre Carmona, Pedro; Kaufmann, Robert K.; Lewis, Philip; Disney, Mathias I.; Vanderbilt, Vern; Davis, Anthony B.; Baret, Frédéric; Jacquemoud, Stéphane; Lyapustin, Alexei; Myneni, Ranga B. National Academy of Sciences (2012)
      A strong positive correlation between vegetation canopy bidirectional reflectance factor (BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen concentration (%N) has been reported in some temperate ...

    • openAccess   Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis 

      Fernandez-Beltran, Ruben; Plaza, Antonio; Plaza, Javier; Pla, Filiberto IEEE (2018-06)
      This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when ...

    • openAccess   Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes 

      González-Pérez, Alberto; Casteleyn, Sven Institute of Electrical and Electronics Engineers (2022)
      Through the Internet of Things, autonomous sensing devices can be deployed to regularly capture environmental and other sensor measurements for a variety of usage scenarios. However, for the market segment of stand-alone, ...

    • openAccess   Identification of Latent Topics in Patients Surviving COVID-19 in Mexico 

      Guzmán-Ponce, Angélica; Fernandez-Beltran, Ruben; Valdovinos Rosas, Rosa María; Romero, Marcelo; Marcial-Romero, J. Raymundo IEEE (2023-01-11)
      With the outbreak of the SARS-CoV-2 o COVID-19 pandemic, multiple studies of risk factors and their influence on patient deaths have been developed. However, little attention is often paid to analyzing patients in risk ...