Now showing items 1-20 of 43

  • Accelerating super-resolution for 4K upscaling 

    Pérez-Pellitero, Eduardo; Salvador, Jordi; Ruiz Hidalgo, Javier; Rosenhahn, Bodo (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    This paper presents a fast Super-Resolution (SR) algorithm based on a selective patch processing. Motivated by the observation that some regions of images are smooth and unfocused and can be properly upscaled with fast ...
  • A general illumination model for molecular visualization 

    Hermosilla Casajús, Pedro; Vázquez Alcocer, Pere Pau; Vinacua Pla, Álvaro; Ropinski, Timo (2018-06)
    Article
    Open Access
    Several visual representations have been developed over the years to visualize molecular structures, and to enable a better understanding of their underlying chemical processes. Today, the most frequently used atom-based ...
  • Análisis de la evolución de pequeñas áreas urbanas utilizando análisis cluster y regresiones logísticas: un estudio de caso en Ribadeo (NO de España) 

    García, Andrés M.; Santé, Inés; Crecente, Rafael (Department of Civil Engineering of the University of Coimbra and e-GEO, Research Center in Geography and Regional Planning of the Faculty of Social Sciences and Humanities of the Nova University of Lisbon, 2011-10)
    Conference report
    Open Access
    La necesidad de encontrar soluciones a los problemas derivados del crecimiento urbano ha llevado al desarrollo de metodologías para el análisis de los procesos que lo regulan. Estos procesos son complejos y operan a varias ...
  • Análisis de regresión beta a través de distancias 

    Melo Martínez, Oscar Orlando (Universitat Politècnica de Catalunya, 2010-06)
    Master thesis
    Open Access
    En este trabajo, se propone una metodología basada en distancias con la finalidad de ajustar variables respuesta tipo beta de precisión constante y covariables de dispersión; se presenta el modelo propuesto, se realiza la ...
  • An Overnight parcel logistics company’s capillary distribution network design by regression analysis 

    Rioja San Martín, Oscar; Lloveras Macià, Joaquín (2012)
    Conference report
    Restricted access - publisher's policy
    This article will explore and analyse how to design the capillary distribution network of an Overnight Parcel Logistics Company (hereby referred to as OPLC). The OPLC needs to design a capillary distribution network that ...
  • Aplicació dels model de regressió logística amb efectes aleatoris per modelar les complicacions del càncer colorectal 

    Pont Lluelles, Marina (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2016-06)
    Master thesis
    Restricted access - author's decision
    Covenantee:  Corporació Sanitària Parc Taulí
    Aquest treball tracta sobre un estudi de cohort prospectiu, multicèntric, realitzat en 22 hospitals d'Espanya. La població d'estudi són pacients programats o atesos a urgències per una cirurgia de càncer colorectal (CCR). ...
  • Caracterización de tráfico dinámico en redes ópticas elásticas 

    Virgili Correas, Lluís (Universitat Politècnica de Catalunya, 2012-07)
    Master thesis (pre-Bologna period)
    Open Access
    En la actualidad, la mayor cantidad de tráfico transportado en las redes de comunicaciones ópticas es tráfico IP. Este tráfico aumenta exponencialmente debido a la aparición de aplicaciones que consumen mucho ancho de banda ...
  • Caracterización y repetibilidad de la mecánica de las trayectorias de vuelo del Larus Audouinii 

    Cortejana Retamozo, Augusto (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2020-01)
    Master thesis
    Open Access
    En los últimos años, ha crecido la disponibilidad de datos georeferenciados para estudiar el comportamiento de los animales: composición de su hábitat, estudios de migración, entre otros. La trayectoria de los animales es ...
  • Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability 

    Ganapathy, Shrikanth; Canal Corretger, Ramon; González Colás, Antonio María; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    Conference report
    Restricted access - publisher's policy
    With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits. Propagation delays which decide circuit ...
  • Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks 

    Romero Merino, Enrique; Alquézar Mancho, René (2010-06)
    External research report
    Open Access
    Recently, error minimized extreme learning machines (EM-ELMs) have been proposed as a simple and efficient approach to build single-hidden-layer feed-forward networks (SLFNs) sequentially. They add random hidden nodes one ...
  • Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks 

    Romero Merino, Enrique; Alquézar Mancho, René (2012-01)
    Article
    Restricted access - publisher's policy
    Recently, error minimized extreme learning machines (EM-ELMs) have been proposed as a simple and efficient approach to build single-hidden-layer feed-forward networks (SLFNs) sequentially. They add random hidden nodes one ...
  • Determining the performance of soldiers depending on their position in some social networks 

    Ruiz Arroyo, Ana Isabel (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2018-06)
    Master thesis
    Restricted access - author's decision
    Covenantee:  UPC / IESE Business School
    A social network can be defined as a group of entities linked between each other by means of some relational tie. Several studies indicate the existence of an influence of social networks on job performance. This thesis ...
  • Diagnostic measures for linear mixed measurement error models 

    Zare, Karim; Rasekh, Abdolrahman (Institut d'Estadística de Catalunya, 2011)
    Article
    Open Access
    In this paper, we present case deletion and mean shift outlie r models for linear mixed measure- ment error models using the corrected likelihood of Nakamur a (1990). We derive the corrected score test statistic for ...
  • Distributed multivariate regression with unknown noise covariance in the presence of outliers: an MDL approach 

    López Valcarce, Roberto; Romero Gonzalez, Daniel; Sala Álvarez, José; Pagès Zamora, Alba Maria (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Open Access
    We consider the problem of estimating the coefficients in a multivariable linear model by means of a wireless sensor network which may be affected by anomalous measurements. The noise covariance matrices at the different ...
  • Estimación del riesgo relativo mediante el modelo log-binomial 

    Pérez Fernández, Silvia (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2016-06)
    Master thesis
    Restricted access - author's decision
    A pesar de que el modelo de regresión log-binomial permite la estimación del riesgo relativo (RR) es un modelo poco usado en la epidemiología. Se suele usar con mucha más frecuencia el modelo de regresión logística que ...
  • Estudi de l'herbivorisme del Senecio mitjançant models zero-inflats 

    Blasco Moreno, Anabel (Universitat Politècnica de Catalunya, 2014-06)
    Master thesis
    Open Access
    Els estudis ecològics que involucren recomptes d'abundància o de presència-absència sovint produeixen dades amb un excés de zeros. Una forma de tractar amb l'excés de zeros és considerar els models zeros inflats. Aquests ...
  • Extended linear models with Gaussian prior on the parameters and adaptive expansion vectors 

    Barrio Moliner, Ignacio; Romero Merino, Enrique; Belanche Muñoz, Luis Antonio (Springer, 2007)
    Conference report
    Open Access
    We present an approximate Bayesian method for regression and classification with models linear in the parameters. Similar to the Relevance Vector Machine (RVM), each parameter is associated with an expansion vector. Unlike ...
  • Forecasting day ahead electricity price using ARMA methods 

    Blanch Urbán, Eduard (Universitat Politècnica de Catalunya / Universidade de São Paulo, 2015)
    Bachelor thesis
    Open Access
    Covenantee:  Universidade de São Paulo
    The main objective in this research is to predict day-ahead prices using ARMA. Box and Jenkins developed a regression model to identify, assess and diagnose dynamic time series models in which the time variable plays a key ...
  • Hurdle negative binomial regression model with right censored count data 

    Saffari, Seyed Ehsan; Adnan, Robiah; Greene, William (Institut d'Estadística de Catalunya, 2012)
    Article
    Open Access
    A Poisson model typically is assumed for count data. In many cases because of many zeros in the response variable, the mean is not equal to the variance value of the dependent variable. Therefore, the Poisson model is ...
  • Increasing polynomial regression complexity for data anonymization 

    Nin Guerrero, Jordi; Pont Tuset, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (IEEE Computer Society, 2007)
    Conference report
    Open Access
    Pervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear ...