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    ESANN
    2007
    123views Neural Networks» more  ESANN 2007»
    Causality and communities in neural networks
    14 years 1 months ago
    Causality and communities in neural networks
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    A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
    Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
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    ESANN
    2007
    89views Neural Networks» more  ESANN 2007»
    Kernel on Bag of Paths For Measuring Similarity of Shapes
    14 years 1 months ago
    Kernel on Bag of Paths For Measuring Similarity of Shapes
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    Frederic Suard, Alain Rakotomamonjy, Abdelaziz Ben...
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    ESANN
    2007
    104views Neural Networks» more  ESANN 2007»
    Self-organized chains for clustering
    14 years 1 months ago
    Self-organized chains for clustering
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    This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
    Hassan Ghaziri
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    ESANN
    2007
    144views Neural Networks» more  ESANN 2007»
    Mixtures of robust probabilistic principal component analyzers
    14 years 1 months ago
    Mixtures of robust probabilistic principal component analyzers
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    Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
    Cédric Archambeau, Nicolas Delannay, Michel...
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    ESANN
    2007
    149views Neural Networks» more  ESANN 2007»
    A novel kernel-based method for local pattern extraction in random process signals
    14 years 1 months ago
    A novel kernel-based method for local pattern extraction in random process signals
    Download  www.ra.cs.uni-tuebingen.de
    In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
    Majid Beigi, Andreas Zell
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    ESANN
    2007
    242views Neural Networks» more  ESANN 2007»
    A hierarchical model for syllable recognition
    14 years 1 months ago
    A hierarchical model for syllable recognition
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    Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
    Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
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    ESANN
    2007
    114views Neural Networks» more  ESANN 2007»
    Deploying SDP for machine learning
    14 years 1 months ago
    Deploying SDP for machine learning
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    We discuss the use in machine learning of a general type of convex optimisation problem known as semi-definite programming (SDP) [1]. We intend to argue that SDP’s arise quite n...
    Tijl De Bie
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    ESANN
    2007
    127views Neural Networks» more  ESANN 2007»
    Optimizing kernel parameters by second-order methods
    14 years 1 months ago
    Optimizing kernel parameters by second-order methods
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    Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
    Shigeo Abe
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    ANNS
    2007
    97views Neural Networks» more  ANNS 2007»
    An improved architecture for cooperative and comparative neurons (CCNs) in neural network
    14 years 1 months ago
    An improved architecture for cooperative and comparative neurons (CCNs) in neural network
    Download  research.cs.queensu.ca
    The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
    Md. Kamrul Islam
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    ANNS
    2007
    122views Neural Networks» more  ANNS 2007»
    Direct and indirect classification of high-frequency LNA performance using machine learning techniques
    14 years 1 months ago
    Direct and indirect classification of high-frequency LNA performance using machine learning techniques
    Download  eprints.nuim.ie
    The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
    Peter C. Hung, Seán F. McLoone, Magdalena S...
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