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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Saliency extraction with a distributed spiking neural network
    13 years 6 months ago
    Saliency extraction with a distributed spiking neural network
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    We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
    Sylvain Chevallier, Philippe Tarroux, Hél&e...
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    ESANN
    2006
    135views Neural Networks» more  ESANN 2006»
    Diversity creation in local search for the evolution of neural network ensembles
    13 years 6 months ago
    Diversity creation in local search for the evolution of neural network ensembles
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    Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
    Pete Duell, Iris Fermin, Xin Yao
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    ESANN
    2006
    90views Neural Networks» more  ESANN 2006»
    Learning what is important: feature selection and rule extraction in a virtual course
    13 years 6 months ago
    Learning what is important: feature selection and rule extraction in a virtual course
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    Terence A. Etchells, Àngela Nebot, Alfredo ...
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    ESANN
    2006
    72views Neural Networks» more  ESANN 2006»
    A multiagent architecture for concurrent reinforcement learning
    13 years 6 months ago
    A multiagent architecture for concurrent reinforcement learning
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    In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
    Victor Uc Cetina
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    ESANN
    2006
    96views Neural Networks» more  ESANN 2006»
    Enhanced maxcut clustering with multivalued neural networks and functional annealing
    13 years 6 months ago
    Enhanced maxcut clustering with multivalued neural networks and functional annealing
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    Enrique Mérida Casermeiro, Domingo Ló...
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    ESANN
    2006
    115views Neural Networks» more  ESANN 2006»
    Construction of a memory management system in an on-line learning mechanism
    13 years 6 months ago
    Construction of a memory management system in an on-line learning mechanism
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    This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
    Francisco Bellas, José Antonio Becerra, Ric...
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    ESANN
    2006
    138views Neural Networks» more  ESANN 2006»
    On the selection of hidden neurons with heuristic search strategies for approximation
    13 years 6 months ago
    On the selection of hidden neurons with heuristic search strategies for approximation
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    Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
    Ignacio Barrio, Enrique Romero, Lluís A. Be...
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    ESANN
    2006
    152views Neural Networks» more  ESANN 2006»
    Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
    13 years 6 months ago
    Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
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    Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
    Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Fuzzy image segmentation with Fuzzy Labelled Neural Gas
    13 years 6 months ago
    Fuzzy image segmentation with Fuzzy Labelled Neural Gas
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    Abstract. Processing biological data often requires handling of uncertain and sometimes inconsistent information. Particularly when coping with image segmentation tasks against bio...
    Cornelia Brüß, Felix Bollenbeck, Frank-...
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Semi-Blind Approaches for Source Separation and Independent component Analysis
    13 years 6 months ago
    Semi-Blind Approaches for Source Separation and Independent component Analysis
    Download  www.dice.ucl.ac.be
    Abstract. This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signal...
    Massoud Babaie-Zadeh, Christian Jutten
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