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    ESANN
    2006
    109views Neural Networks» more  ESANN 2006»
    Sanger-driven MDSLocalize - a comparative study for genomic data
    13 years 5 months ago
    Sanger-driven MDSLocalize - a comparative study for genomic data
    Download  www.dice.ucl.ac.be
    Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
    Marc Strickert, Nese Sreenivasulu, Udo Seiffert
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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Visual Data Mining and Machine Learning
    13 years 5 months ago
    Visual Data Mining and Machine Learning
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    Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
    Fabrice Rossi
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    ESANN
    2006
    199views Neural Networks» more  ESANN 2006»
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    13 years 5 months ago
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    Download  www.nada.kth.se
    We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
    Rebecca Steinert, Martin Rehn, Anders Lansner
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    ESANN
    2006
    99views Neural Networks» more  ESANN 2006»
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    13 years 5 months ago
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    Download  www.dice.ucl.ac.be
    We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
    Jochen J. Steil, Risto Koiva, Alessandro Sperduti
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    ESANN
    2006
    108views Neural Networks» more  ESANN 2006»
    Rotation-based ensembles of RBF networks
    13 years 5 months ago
    Rotation-based ensembles of RBF networks
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    Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
    Juan José Rodríguez, Jesús Ma...
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    ESANN
    2006
    141views Neural Networks» more  ESANN 2006»
    Hierarchical analysis of GSM network performance data
    13 years 5 months ago
    Hierarchical analysis of GSM network performance data
    Download  www.cis.hut.fi
    In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. The data is examined in few phases. At first te...
    Mikko Multanen, Kimmo Raivio, Pasi Lehtimäki
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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Learning and discrimination through STDP in a top-down modulated associative memory
    13 years 5 months ago
    Learning and discrimination through STDP in a top-down modulated associative memory
    Download  www.dice.ucl.ac.be
    Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
    Anthony Mouraud, Hélène Paugam-Moisy
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    ESANN
    2006
    186views Neural Networks» more  ESANN 2006»
    Bayesian source separation: beyond PCA and ICA
    13 years 5 months ago
    Bayesian source separation: beyond PCA and ICA
    Download  www.dice.ucl.ac.be
    Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
    Ali Mohammad-Djafari
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    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    An algorithm for fast and reliable ESOM learning
    13 years 5 months ago
    An algorithm for fast and reliable ESOM learning
    Download  www.mybytes.de
    The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
    Mario Nöcker, Fabian Mörchen, Alfred Ult...
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    ESANN
    2006
    97views Neural Networks» more  ESANN 2006»
    Generalization properties of spiking neurons trained with ReSuMe method
    13 years 5 months ago
    Generalization properties of spiking neurons trained with ReSuMe method
    Download  www.dice.ucl.ac.be
    In this paper we demonstrate the generalization property of spiking neurons trained with ReSuMe method. We show in a set of experiments that the learning neuron can approximate the...
    Filip Ponulak, Andrzej J. Kasinski
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