Ara es mostren els items 1-20 de 447

  • 3D point cloud correspondences using deep learning 

    Rica Palma, Javier de la (Universitat Politècnica de Catalunya, 2018-05)
    Treball Final de Grau
    Accés obert
    The main goal of the project is to find correspondences between points in two 3D point clouds using deep learning. A deep learning network is trained to select key points and find correspondences between two point clouds ...
  • 3D point cloud correspondences using graph neural networks 

    Gimenez Arnal, Mario (Universitat Politècnica de Catalunya, 2018-10-17)
    Treball Final de Grau
    Accés obert
    The purpose of this project is the study of neural networks, their training and application together with the creation of a database appropriate to the system. Specically, the 3D convolutional networks applied to a database ...
  • 3D scene reconstruction and understanding from single shot pictures 

    García González, Alfredo (Universitat Politècnica de Catalunya, 2012-09)
    Projecte Final de Màster Oficial
    Accés obert
    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 ...
  • Abstractive text summarization with attention-based mechanism 

    Sanjabi, Nima (Universitat Politècnica de Catalunya, 2018-04)
    Projecte Final de Màster Oficial
    Accés obert
    In this work, we explore the evolution of Sequential Neural Models, and their use as a Summarizer System. Transformer is a recently proposed model with a high potential. We experiment and compare their result in abstractive ...
  • ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime 

    Knauss, Alessia; Damian, Daniela; Franch Gutiérrez, Javier; Rook, Angela; Müller, Haussi A.; Thomo, Alex (2016-02)
    Article
    Accés obert
    Context: Runtime uncertainty such as unpredictable operational environment and failure of sensors that gather environmental data is a well-known challenge for adaptive systems. Objective: To execute requirements that ...
  • Action recognition in videos 

    Xu, Zineng (Universitat Politècnica de Catalunya, 2018-06-18)
    Projecte Final de Màster Oficial
    Accés obert
    In this project, our work can be divided into two parts: RGB-D based action recognition in trimmed videos and temporal action detection in untrimmed videos.
  • Action rule induction from cause-effect pairs learned through robot-teacher interaction 

    Agostini, Alejandro Gabriel; Celaya Llover, Enric; Torras, Carme; Wörgötter, Florentin (University of Karlsruhe, 2008)
    Text en actes de congrés
    Accés obert
    In this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated ...
  • A damage classification approach for structural health monitoring using machine learning 

    Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc (2018-12-02)
    Article
    Accés obert
    Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables ...
  • Adaptative case-based reasoning: maintenance and learning strategies 

    Nakhjiri, Nariman (Universitat Politècnica de Catalunya, 2018-04)
    Projecte Final de Màster Oficial
    Accés restringit per acord de confidencialitat
    Realitzat a/amb:  Universitat de Barcelona
  • Adapting deep neural networks to a low-power environment 

    Mañas Sánchez, Oscar (Universitat Politècnica de Catalunya, 2017)
    Treball Final de Grau
    Accés obert
    These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep neural network has been trained for hours, days, or even weeks on a desktop GPU, it is deployed in the field where it runs ...
  • Adaptive distributed mechanism againts flooding network attacks based on machine learning 

    Berral García, Josep Lluís; Poggi Mastrokalo, Nicolas; Alonso López, Javier; Gavaldà Mestre, Ricard; Torres Viñals, Jordi; Parashar, Manish (ACM Press, NY, 2008)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self- defense for networks and distributed systems. In this paper, we focus on early detection and stopping of ...
  • Adaptive on-line software aging prediction based on machine learning 

    Alonso López, Javier; Torres Viñals, Jordi; Berral García, Josep Lluís; Gavaldà Mestre, Ricard (IEEE Computer Society Publications, 2010)
    Text en actes de congrés
    Accés obert
    The growing complexity of software systems is resulting in an increasing number of software faults. According to the literature, software faults are becoming one of the main sources of unplanned system outages, and have ...
  • Adarules: Learning rules for real-time road-traffic prediction 

    Mena Yedra, Rafael; Gavaldà Mestre, Ricard; Casas Vilaró, Jordi (Elsevier, 2017-12-17)
    Text en actes de congrés
    Accés obert
    Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key ...
  • 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)
    Text en actes de congrés
    Accés obert
    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 ...
  • Advances in Computational Intelligence and Learning (ESANN 2009) 

    Angulo Bahón, Cecilio; Lee, John A.; Schleif, Frank-Michael (Elsevier Science Direct, 2010-03)
    Article
    Accés restringit per política de l'editorial
  • Advances in machine learning and computational intelligence 

    Schleif, Frank-Michael; Biehl, Michael; Vellido Alcacena, Alfredo (2009-03)
    Article
    Accés restringit per política de l'editorial
  • A fuzzy rule model for high level musical features on automated composition systems 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
    Capítol de llibre
    Accés obert
    Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...
  • A general guide to applying machine learning to computer architecture 

    Nemirovsky, Daniel; Arkose, Tugberk; Markovic, Nikola; Nemirovsky, Mario; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Valero Cortés, Mateo (2018)
    Article
    Accés obert
    The resurgence of machine learning since the late 1990s has been enabled by significant advances in computing performance and the growth of big data. The ability of these algorithms to detect complex patterns in data which ...
  • Algorismes d'aprenentatge per reforç en micro-robots 

    Palma Pérez, Juan (Universitat Politècnica de Catalunya, 2016)
    Projecte/Treball Final de Carrera
    Accés obert
    The aim of this project is the study of reinforcement learning algorithms for micro-robots. It begins with the description of the collective intelligence concept and its main characteristics. Then it presents concepts such ...
  • ALLIANCE Project: Architecting a knowledge-defined 5G-enabled network infrastructure 

    Careglio, Davide; Spadaro, Salvatore; Cabellos Aparicio, Alberto; Lázaro Villa, José Antonio; Perelló Muntan, Jordi; Barlet Ros, Pere; Gene Bernaus, Joan M.; Paillissé Vilanova, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés obert
    Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating access networks, ultra-high capacity access/metro/core optical networks and intra-datacentre ...