Browsing by Subject "Aprenentatge automàtic"
Now showing items 1-20 of 558
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3D Bounding box detection from monocular images
(Universitat Politècnica de Catalunya, 2019-05-08)
Master thesis
Open AccessObject detection is particularly important in robotic applications that require interaction with the environment. Although 2D object detection methods obtain accurate results, these are not enough to provide a complete ... -
3D hand reconstruction from RGB-D/RGB video frames in real-time
(Universitat Politècnica de Catalunya, 2019-04-30)
Master thesis
Open Access
Covenantee: École polytechnique fédérale de LausanneWe present a pipeline able to extract 3D real-world measurements from RGB-D images with high accuracy in real-time. A new method bottom-up multi-person for hand-body pose detection evolved from OpenPifPaf has been presented. ... -
3D point cloud correspondences using deep learning
(Universitat Politècnica de Catalunya, 2018-05)
Bachelor thesis
Open AccessThe 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
(Universitat Politècnica de Catalunya, 2018-10-17)
Bachelor thesis
Open AccessThe 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
(Universitat Politècnica de Catalunya, 2012-09)
Master thesis
Open AccessAugmented 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
(Universitat Politècnica de Catalunya, 2018-04)
Master thesis
Open AccessIn 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
(2016-02)
Article
Open AccessContext: 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
(Universitat Politècnica de Catalunya, 2018-06-18)
Master thesis
Open AccessIn 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
(University of Karlsruhe, 2008)
Conference report
Open AccessIn 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
(2018-12-02)
Article
Open AccessInspection 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
(Universitat Politècnica de Catalunya, 2018-04)
Master thesis
Restricted access - confidentiality agreement
Covenantee: Universitat de Barcelona -
Adapting deep neural networks to a low-power environment
(Universitat Politècnica de Catalunya, 2017)
Bachelor thesis
Open AccessThese 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
(ACM Press, NY, 2008)
Conference report
Restricted access - publisher's policyAdaptive 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
(IEEE Computer Society Publications, 2010)
Conference report
Open AccessThe 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
(Elsevier, 2017-12-17)
Conference report
Open AccessTraffic 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
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessIn 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)
(Elsevier Science Direct, 2010-03)
Article
Restricted access - publisher's policy -
Advances in machine learning and computational intelligence
(2009-03)
Article
Restricted access - publisher's policy -
A fuzzy rule model for high level musical features on automated composition systems
(Springer, 2017)
Part of book or chapter of book
Open AccessAlgorithmic 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
(2018)
Article
Open AccessThe 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 ...
