Now showing items 1-20 of 255

  • 3D scene reconstruction and understanding from single shot pictures 

    García González, Alfredo (Universitat Politècnica de Catalunya, 2012-09)
    Master thesis
    Open Access
    Augmented reality mixes computer generated graphics with real imaging using computer vision techniques. However, nowadays, augmented reality is still a very young field of research, and its applications usually involve ...
  • A decision making support tool: The resilience management fuzzy controller 

    González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    In this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ...
  • A lower bound for learning distributions generated by probabilistic automata 

    Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
    Conference report
    Open Access
    Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ...
  • A machine learning approach for layout inference in spreadsheets 

    Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
    Conference report
    Open Access
    Spreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ...
  • A machine learning methodology for structural damage classification in structural health monitoring 

    Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Vitola Oyaga, Jaime (2017)
    Conference report
    Restricted access - publisher's policy
    One of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ...
  • A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases 

    Mocioiu, Victor; de Barros, Nuno M. Pedrosa; Ortega Martorell, Sandra; Slotboom, Johannes; Knecht, Urspeter; Arús, Carles; Vellido Alcacena, Alfredo; Julià Sapé, Margarida (I6doc.com, 2016)
    Conference report
    Open Access
    Machine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ...
  • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference lecture
    Open Access
    Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
  • A multi-scale smoothing kernel for measuring time-series similarity 

    Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
    Article
    Restricted access - publisher's policy
    In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly ...
  • A probabilistic approach to the visual exploration of G protein-coupled receptor sequences 

    Vellido Alcacena, Alfredo; Cárdenas, Martha Ivón; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (2011)
    Conference report
    Open Access
    The study of G protein-coupled receptors (GPCRs) is of great interest in pharmaceutical research, but only a few of their 3D structures are known at present. On the contrary, their amino acid sequences are known and ...
  • A probabilistic tri-class Support Vector Machine 

    González Abril, Luis; Angulo Bahón, Cecilio; Velasco Morente, Francisco; Ortega Ramírez, Juan Antonio (2010-07)
    Article
    Open Access
    A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class ...
  • A QoS-aware framework for traffic classificationin software-defined networks 

    Salvat Lozano, Josep Xavier (Universitat Politècnica de Catalunya, 2014-12-15)
    Master thesis (pre-Bologna period)
    Restricted access - author's decision
    [ANGLÈS] How can we build a system for traffic classification so that different QoS levels can be identified? How can we analyse different network parameters and identify a specific QoS for every flow? The purp ose of ...
  • A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics 

    Berral García, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Open Access
    Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In ...
  • A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients 

    Ribas Ripoll, Vicent; Romero Merino, Enrique; Ruiz Rodríguez, Juan Carlos; Vellido Alcacena, Alfredo (2013)
    Conference report
    Open Access
    In this paper, we describe a novel kernel for multinomial distributions, namely the Quotient Basis Kernel (QBK), which is based on a suitable reparametrization of the input space through algebraic geometry and statistics. ...
  • A randomized algorithm for the exact solution of transductive support vector machines 

    Esposito, Gennaro; Martín Muñoz, Mario (2015-05-13)
    Article
    Open Access
    Random sampling is an efficient method for dealing with constrained optimization problems. In computational geometry, this method has been successfully applied, through Clarkson’s algorithm (Clarkson 1996), to solve a ...
  • A Software system for the microbial source tracking problem 

    Sánchez-Mendoza, David (Universitat Politècnica de Catalunya, 2012-06-20)
    Master thesis
    Open Access
    The Microbial Source Tracking problem (MST) has to do with the determination of the fecal pollution origin in waters by the use of microbial and chemical indicators. This document introduces a methodology for solving MST ...
  • A software system for the microbial source tracking problem 

    Sànchez Mendoza, David; Belanche Muñoz, Luis Antonio; Blanch, Anicet R. (2011)
    Conference report
    Open Access
    The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples ...
  • A stochastic approach for automatic layout synthesis in interior design, using a learningbased scoring function 

    Racec, Emil (Universitat Politècnica de Catalunya, 2016-07-06)
    Master thesis
    Open Access
    Covenantee:  Interiorvista
    Despite the increasing capabilities of computers to master sophisticated human-like tasks and the recent explosive new wave of Machine Learning-based methods, the interior design field still remains a hard-to-master area, ...
  • A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic 

    Carela Español, Valentín; Barlet Ros, Pere; Bifet Figuerol, Albert Carles; Fukuda, Kensuke (2016-10)
    Article
    Open Access
    The continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques ...
  • A study of feature selection algorithms for accuracy estimation 

    Butt, Kashif Javed (Universitat Politècnica de Catalunya, 2012-09)
    Master thesis
    Open Access
    The main purpose of Feature Subset Selection is to find a reduced subset of attributes from a data set described by a feature set. The task of a feature selection algorithm (FSA) is to provide with a computational ...
  • A study on output normalization in multiclass SVMs 

    González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2013-02-01)
    Article
    Restricted access - publisher's policy
    The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, ...