Now showing items 21-40 of 54

    • Implementación y estudio de una wide kernel machine basada en RBMs 

      Dávila Carmona, Cristian (Universitat Politècnica de Catalunya, 2015-06)
      Bachelor thesis
      Open Access
      En este proyecto se estudia la utilización de una Restricted Boltzmann Machine como extractor de características de imágenes que se utilizarán para mejorar la clasificación que realizan dos métodos de aprendizaje estadístico: ...
    • Improving sparsity in online kernel models 

      Orihuela Salvatierra, Helena (Universitat Politècnica de Catalunya, 2013-09-14)
      Master thesis
      Open Access
      In this thesis, background theory about the online kernel-based algorithms and their use for online learning is presented. The analysis of the state-ofthe- art methods highlights an important drawback in many kernel ...
    • Inferencia con distancias medianas: una alternativa para reducir la influencia de los valores extremos 

      Coderch Lanau, Rafael (Universitat Politècnica de Catalunya, 2023-06)
      Master thesis
      Open Access
      En el análisis multivariante, las medidas de similitud y distancia caracterizan las analogías y diferencias entre objetos. Basado en distáncias, un test de medoids usa la diversidad para caracterizar las variabilidades ...
    • Integration of GPU kernels with deel learning frameworks 

      Boza i Dieguez, August (Universitat Politècnica de Catalunya, 2019-10-22)
      Bachelor thesis
      Open Access
      Les xarxes neuronals han experimentat un creixement exponencial en els darrers anys. Han crescut en complexitat i mida, però tot i que hi ha hagut millores en el rendiment encara hi ha molt per fer. En aquest projecte ...
    • Interval-valued feature selection 

      Samà Monsonís, Albert; Ruiz Vegas, Francisco Javier; Català Mallofré, Andreu; Angulo Bahón, Cecilio (2010)
      Conference report
      Open Access
      In this paper we introduce the use of interval variables in classification problems of time series signals. By introducing the concept of interval kernel as a similarity measure among intervals, modifications for some ...
    • Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia 

      Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Catala Roig, Neus; Cortés García, Claudio Ulises; Viñas, Ferran; Tarragó Bofarull, Josep; Rojo, Emilio; Nowak, Rafal (Elsevier, 2016-08-02)
      Article
      Open Access
      The current wide access to data from different neuroimaging techniques has permitted to obtain data to explore the possibility of finding objective criteria that can be used for diagnostic purposes. In order to decide which ...
    • Kernel and user level execution trace analysis for multi-core distributed Linux systems 

      Dagenais, Michel (Barcelona Supercomputing Center, 2016-09-10)
      Open Access
      The presentation will briefly introduce the organization of the DORSAL laboratory and the collaborative research and development projects undertaken with the financial support of industrial partners, including Ericsson, ...
    • Kernel methods with mixed data types and their applications 

      Arqué Martínez, Arnau (Universitat Politècnica de Catalunya, 2023-06-26)
      Master thesis
      Open Access
      Support Vector Machines (SVMs) represent a category of supervised machine learning algorithms that find extensive application in both classification and regression tasks. In these algorithms, kernel functions are responsible ...
    • Light machine vision camera platform with MIPI interface for on-board AI systems 

      Ansola Erkizia, Julen (Universitat Politècnica de Catalunya, 2019-09-02)
      Master thesis
      Restricted access - confidentiality agreement
      Interfaces for artificial intelligence systems like GigE or PoCL lead to big dimensions and relatively high power consumptions. MIPI has released a scalable interface for image capturing, named CSI, that can reduce these ...
    • Making kernel machines scalable combining matrix approximations and distributed computing 

      Gerstenlauer, Jakob L.K. (Universitat Politècnica de Catalunya, 2018-04-08)
      Master thesis
      Open Access
      In this work, kernelized binary support vector machines are implemented based on stochastic gradient descent. The Scala library can be used both on a single computing node and on a Spark cluster. Additional tools for ...
    • Microbiological data analysis with non-linear methods 

      Sannidhi, Nikhith (Universitat Politècnica de Catalunya, 2018-06-25)
      Bachelor thesis
      Open Access
      Aquest projecte estudiarà l'aplicació de l'estat estadístic de la tècnica i els mètodes d'aprenentatge automàtic per desenvolupar models predictius i determinar paràmetres de discriminació òptims per al seguiment d'origen ...
    • Modeling of reactive transport with particle tracking and kernel density estimators 

      Rahbaralam, Maryam (Universitat Politècnica de Catalunya, 2018-02-23)
      Doctoral thesis
      Open Access
      Random walk particle tracking methods are a computationally efficient family of methods to solve reactive transport problems. While the number of particles in most realistic applications is in the order of 10^6 - 10^9, the ...
    • Multivariate Kernel Functions for Categorical Variables 

      Garcia Marquez, Carlos (Universitat Politècnica de Catalunya, 2014-12-16)
      Master thesis (pre-Bologna period)
      Open Access
      Recerca sobre kernels aplicables a variables de tipus categoric, basades en l'ús de la funció de probabilitat de les dades. Introdueix noves funcions kernel inspirades en mesures de semblança per a variables binàries.
    • Network Function Virtualization technologies applied to cellular systems 

      Padilla Pinedo, Joel (Universitat Politècnica de Catalunya, 2020-02)
      Master thesis
      Open Access
      Future 5G networks open a new spectrum of possibilities, both at the level of services it can offer, and at the level of its deployment. This thesis aims to make a study of some of the technologies that make possible the ...
    • New hybrid kernel architectures for deep learning 

      Mora de Checa, Daniel (Universitat Politècnica de Catalunya, 2018-04)
      Master thesis
      Open Access
      In this work we explore the possibilities of combining neural network architectures and kernel methods by introducing hybrid kernel blocks. We present hybrid architectures which can be trained as traditional neural networks ...
    • On the composition of neural and kernel layers for machine learning 

      Martorell Locascio, Alex (Universitat Politècnica de Catalunya, 2023-06-26)
      Master thesis
      Open Access
      Deep Learning architectures in which neural layers alternate with mappings to infinitedimensional feature spaces have been proposed in recent years, showing improvements on the results obtained when using either technique ...
    • Optimization of OpenCL applications on FPGA 

      Navarro Torrentó, Albert (Universitat Politècnica de Catalunya, 2018-04)
      Master thesis
      Open Access
      Covenantee:   Barcelona Supercomputing Center
      This document presents an evaluation of OpenCL as a mechanism to exploit FPGA resources. To evaluate it, we show a performance and energy comparison between an Intel Arria 10 and an Intel Xeon E5-2600. We also present a ...
    • Optimizing support vector machines (SVMs) with optimized geometric ensembles (OFE) 

      Guitart Atienza, Anna (Universitat Politècnica de Catalunya, 2015-04-30)
      Master thesis
      Open Access
      Delivery of my master thesis with the new title: Optimizing Support Vector Machines with Characteristic Boundary Points.
    • Optimizing the SpMV kernel on long-vector accelerators 

      Gómez Crespo, Constantino; Mantovani, Filippo; Focht, Erich; Casas, Marc (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      Sparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV ...
    • Periodic stationary sets for the fractional perimeter with a general kernel 

      Alcover Borràs, Maties Francesc (Universitat Politècnica de Catalunya, 2023-02)
      Master thesis
      Open Access
      The aim of this master's thesis is to construct some periodic sets in the plane with constant nonlocal (or fractional) mean curvature induced by general anisotropic kernels. Inspired by the article \cite{bib1} by Cabré, ...