Enviaments recents

  • One-shot capacity bounds on the simultaneous transmission of public and private information over quantum channels 

    Salek Shishavan, Farzin; Anshu, Anurag; Hsieh, Min-Hsiu; Jain, Rahul; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    We aim to study the optimal rates of transmission of public and private classical information over a quantum channel in the most general channel model. To this end, we discuss a scenario in which a quantum channel is being ...
  • Automotive radar and radome calibration to improve the direction of arrival detection performance 

    Buitrago Ventura, Santiago; Blanch Boris, Sebastián; Romeu Robert, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    An assessment of the improvement in the Direction of Arrival (DoA) measurements in automotive radar sensor by joint calibration of the radar sensor plus the radome is presented. Nowadays, radar sensors are calibrated before ...
  • End-to-end speech translation with the transformer 

    Cross Vila, Laura; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (Antonio Bonafonte, Jordi Luque and Francesc Alías Pujol, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Speech Translation has been traditionally addressed with the concatenation of two tasks: Speech Recognition and Machine Translation. This approach has the main drawback that errors are concatenated. Recently, neural ...
  • Versatile and accurate electromagnetic analysis of piecewise homogeneous composite objects 

    Sekulic, Ivan; Úbeda Farré, Eduard; Rius Casals, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The discretization by the Method of Moments (MoM) of electromagnetic integral equations, namely, the Electric Field Integral Equation (EFIE) for perfect electric conductors (PECs) and the Poggio-Miller-Chan-Harrington-Wu-Tsai ...
  • The TALP-UPC machine translation systems for WMT18 news translation shared task 

    Casas, Noe; Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this article we describe the TALP-UPC research group participation in the WMT18 news shared translation task for FinnishEnglish and Estonian-English within the multi-lingual subtrack. All of our primary submissions ...
  • Direct phase modulation for UDWDM ONU with beat signals 

    Velásquez Micolta, Juan Camilo; Cano Valadez, Iván Nicolás; Tabares Giraldo, Jeison; Polo Querol, Víctor; Prat Gomà, Josep Joan (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    An ONU transmitter for UDWDM PONs based on direct phase modulated distributed feedback lasers (DFB) through digital beat signals is proposed and experimentally tested. The amplitude and duty cycle of the modulating signal ...
  • Leishmaniasis parasite segmentation and classification using deep learning 

    Górriz, Marc; Aparicio, Albert; Raventós, Berta; Vilaplana Besler, Verónica; Sayrol Clols, Elisa; López Codina, Daniel (Springer, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Leishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishmaniasis of which manual microscopy is ...
  • Monte-Carlo sampling applied to multiple instance learning for histological image classification 

    Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    We propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared with grid sampling and uniform sampling ...
  • Calibration of Raman lidar water-vapor mixing ratio measurements using zenithal measurements of diffuse sunlight and a radiative transfer model 

    Muñoz Porcar, Constantino; Comerón Tejero, Adolfo; Sicard, Michaël; Barragán Cuesta, Rubén; García Vizcaíno, David; Rodríguez Gómez, Alejandro Antonio; Rocadenbosch Burillo, Francisco; Granados Muñoz, María José (Institute of Electrical and Electronics Engineers (IEEE), 2018-07-20)
    Article
    Accés obert
    Among the different techniques available for measuring the atmospheric water vapor content, Raman lidars stand out as accurate instruments providing detailed profiles with high temporal and altitude resolution. Their ...
  • Monte-Carlo sampling applied to multiple instance learning for whole slide image classification 

    Combalia, Marc; Vilaplana Besler, Verónica (2018)
    Comunicació de congrés
    Accés obert
    In this paper we propose a patch sampling strategy based on sequential Monte-Carlo methods for Whole Slide Image classification in the context of Multiple Instance Learning and show its capability to achieve high generalization ...
  • Cronografia ICOM (ETSETB/UPC) Quadrimestre de Tardor 2016 

    Sala Álvarez, José (2017-12-01)
    Report de recerca
    Accés obert
  • Brain MRI super-resolution using generative adversarial networks 

    Sánchez, Irina; Vilaplana Besler, Verónica (2018)
    Comunicació de congrés
    Accés obert
    In this work we propose an adversarial learning approach to generate high resolution MRI scans from low resolution images. The architecture, based on the SRGAN model, adopts 3D convolutions to exploit volumetric information. ...

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