Envíos recientes

  • Modelling of pollen dispersion in the atmosphere: evaluation with a continuous 1ß+1d lidar 

    Sicard, Michaël; Izquierdo, Rebeca; Jorba i Casellas, Oriol; Alarcón Jordán, Marta; Belmonte Soler, Jordina; Comerón Tejero, Adolfo; De Linares, Concepción; Baldasano Recio, José María (2017)
    Texto en actas de congreso
    Acceso abierto
    Pollen allergenicity plays an important role on human health and wellness. It is thus of large public interest to increase our knowledge of pollen grain behavior in the atmosphere (source, emission, processes involved ...
  • Robust estimation of the magnitude squared coherence based on Kernel signal processing 

    Cabrera Estanyol, Ferran de; Riba Sagarra, Jaume; Vázquez Grau, Gregorio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    A new outlier-robust approach to estimate the magnitude squared coherence of a random vector sequence, a common task required in a variety of estimation and detection problems, is proposed. The proposed estimator is based ...
  • Complex light-assisted optical metrology techniques 

    Rosales Guzmán, Carmelo; Belmonte Molina, Aniceto; Pérez Torres, Juan (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2018)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    The on-demand tailoring of the properties of light, such as phase, polarization or spatial shape, has completely changed the landscape of photonic-based applications. In this way, complex light fields have become an ...
  • 3D point cloud segmentation using a fully connected conditional random field 

    Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    Traditional image segmentation methods working with low level image features are usually difficult to adapt to higher level tasks, such as object recognition and scene understanding. Object segmentation emerges as a new ...
  • An example from the Basic Engineering Project subject at the UPC Telecom-BCN School: learning radiofrequency links, antennas and amplifiers with the help of recycled materials 

    Rocadenbosch Burillo, Francisco; Aguasca Solé, Alberto; Broquetas Ibars, Antoni; Camps Carmona, Adriano José (2018)
    Texto en actas de congreso
    Acceso abierto
  • An interactive lifelog search engine for LSC2018 

    Alsina, Adrià; Giró Nieto, Xavier; Gurrin, Cathal (Association for Computing Machinery (ACM), 2018)
    Comunicación de congreso
    Acceso abierto
    In this work, we describe an interactive lifelog search engine developed for the LSC 2018 search challenge at ACM ICMR 2018. The paper introduces the four-step process required to support lifelog search engines and describes ...
  • Masked V-Net: an approach to brain tumor segmentation 

    Catà, Marcel; Casamitjana Díaz, Adrià; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (2017)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    This paper introduces Masked V-Net architecture, a variant of the recently introduced V-Net[13] that reformulates the residual connections and uses a ROI mask to constrain the network to train only on relevant voxels. ...
  • Comparing fixed and adaptive computation time for recurrent neural networks 

    Fojo, Daniel; Campos Camunez, Victor; Giró Nieto, Xavier (2018)
    Texto en actas de congreso
    Acceso abierto
    Deep networks commonly perform better than shallow ones, but allocating the proper amount of computation for each particular input sample remains an open problem. This issue is particularly challenging in sequential tasks, ...
  • Vertical separation of the atmospheric aerosol components by sign POLIPHON retrieval in polarized micro pulse lidar (P-MPL) measurements: case studies of specific climate-relevant aerosol types 

    Cordoba, Carmen; Sicard, Michaël; Ansmann, Albert; del Aguila, Ana; Baars, Holger (EDP Sciences, 2018)
    Comunicación de congreso
    Acceso abierto
    POLIPHON (POlarization-LIdar PHOtometer Networking) retrieval consists in the vertical separation of two/three particle components in aerosol mixtures, highlighting their relative contributions in terms of the optical ...
  • Machine and deep learning approaches to localization and range estimation of underwater acoustic sources 

    Houégnigan, Ludwig; Safari, Pooyan; Nadeu Camprubí, Climent; André, Michel; Van der Schaar, Mike Connor Roger Malcolm (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    This paper introduces ongoing experiments and early results for the underwater localization and range estimation of acoustic sources. Beyond classical results obtained for direction of arrival estimation, results concerning ...
  • Skip RNN: learning to skip state updates in recurrent neural networks 

    Campos Camunez, Victor; Jou, Brendan; Giró Nieto, Xavier; Torres Viñals, Jordi; Chang, Shih-Fu (2018)
    Comunicación de congreso
    Acceso abierto
    Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty ...
  • Dimension spreading for coherent opportunistic communications 

    Borràs Pino, Jordi; Font Segura, Josep; Riba Sagarra, Jaume; Vázquez Grau, Gregorio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    The waveform optimization problem for opportunistic communications is addressed, based on sensing the second-order statistics of the existing transmissions. We propose a minimum-norm waveform optimization that exhibits ...

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