Browsing by Subject "Xarxes neuronals (Informàtica)"
Now showing items 1-20 of 378
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3D convolutional neural networks for brain tumor segmentation
(2016)
Conference lecture
Restricted access - publisher's policyThis paper presents our work on applying 3D Convolutional Networks for brain tumor segmentation for the BRATS challenge. We are currently experimenting with different 3D fully convolutional architectures. We present ... -
3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures
(Springer, 2017-04-24)
Part of book or chapter of book
Open Access -
3D Face recognition with stereo automotive cameras
(Universitat Politècnica de Catalunya, 2019-06)
Bachelor thesis
60 months embargoThe automotive sector is experiencing a rapid change that will influence the way in which we will use cars. One of the main concerns of this new wave of automotive research regards the security of future vehicles, being ... -
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 pose estimation using convolutional neural networks
(Universitat Politècnica de Catalunya, 2015-10)
Master thesis
Open AccessThe present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the ... -
Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks
(2012)
Conference report
Restricted access - publisher's policyBearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ... -
A chunking mechanism in a neural system for the parallel processing of a propositional production rules
(Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1995)
Article
Open AccessThe problem of extracting more compact rules from a rule-based knowledge base is approached by means of a chunking mechanism implemented via a neural system. Taking advantage of the parallel processing potentialities of ... -
A communication infrastructure for emulating large-scale neural networks models
(Springer, 2012)
Conference report
Restricted access - publisher's policyThis paper presents the SEPELYNS architecture that permits to in- terconnect multiple spiking neurons focused on hardware implementations. SEPELYNS can connect millions of neur ons with thousands of synapses per neuron ... -
A Comprehensive survey on deep future frame video prediction
(Universitat Politècnica de Catalunya, 2018-01-25)
Master thesis
Open Access
Covenantee: Universitat de BarcelonaEl present projecte planteja l'estudi comprensiu i extens per a la tasca de predicció de fotogrames donada una seqüència de vídeo. Mitjançant l'anàlisi de l'estat de l'art en generació d'imatges, xarxes convolucionals i ... -
Active deep learning for medical imaging segmentation
(Universitat Politècnica de Catalunya, 2017)
Bachelor thesis
Open Access
Covenantee: Institut national polytechnique de ToulouseThis thesis proposes a novel active learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our approach ... -
Activity-aware HVAC power demand forecasting
(2018-07-01)
Article
Restricted access - publisher's policyThe forecasting of the thermal power demand is essential to support the development of advanced strategies for the management of local resources on the consumer side, such as heating ventilation and air conditioning (HVAC) ... -
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 multi agent system for guiding groups of people in urban areas
(Springer, 2011)
Conference report
Open AccessThis article presents a new approach for guiding a group of people using an adaptive multi agent system. For the simulations of the group of people we use social forces, with theses forces human motion is controlled ... -
Adaptive neural network state predictor and tracking control for nonlinear time-delay systems
(2010-02)
Article
Restricted access - publisher's policyA new adaptive nonlinear state predictor (ANSP) is presented for a class of unknown nonlinear systems with input time-delay. A dynamical identification with neu- ral network (NN) is constructed to obtain NN weights and ... -
A digital memristor emulator for FPGA-based artificial neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyFPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ... -
AER-RT: Interfaz de Red con Topología en Anillo para SNN Multi-FPGA
(Universitat Politècnica de Catalunya, 2013-07-08)
Master thesis
Open Access[ANGLÈS] This thesis presents AER-RT network interface, a network interface designed to work together a Multiprocessor System (MPS) and create an efficient and scalable multi-chip SNN network. The objective of AER-RT is ... -
A Human Shape-Motion Predictor with Deep Learning
(Universitat Politècnica de Catalunya, 2019-04-24)
Master thesis
Open AccessThe objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and ... -
A large-scale spiking neural networks emulation architecture
(Universitat Politècnica de Catalunya, 2014-09-09)
Master thesis
Open AccessThe purpose of this work is to design a new version (called SNAVA+) of the architecture SNAVA, an SNN hardware emulator implemented on a XilinX Kintex-7 FPGA. SNAVA+ increases the capabilities of SNAVA in order to have a ... -
Algorismes d'entrenament per xarxes neuronals basades en similitud
(Universitat Politècnica de Catalunya, 2016-06-21)
Bachelor thesis
Open AccessTrebll d'aprenentatge automàtic sobre les xarxes neuronals basades en similitud. S'implementen diversos mètodes d'entrenament per posar-los a prova contra modeltas estadístics clàssics sobre diversos problemes reals difícils.
