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    TNN
    2008
    95views more  TNN 2008»
    A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
    13 years 11 months ago
    A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
    Download  fred.mems.duke.edu
    In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
    Silvia Ferrari, Mark Jensenius
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    TNN
    2008
    143views more  TNN 2008»
    Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
    13 years 11 months ago
    Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
    Download  ci.louisville.edu
    A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
    Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
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    TNN
    2008
    178views more  TNN 2008»
    IMORL: Incremental Multiple-Object Recognition and Localization
    13 years 11 months ago
    IMORL: Incremental Multiple-Object Recognition and Localization
    Download  www.csse.monash.edu.au
    This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
    Haibo He, Sheng Chen
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    TNN
    2008
    171views more  TNN 2008»
    Adaptive Dynamic Inversion via Time-Scale Separation
    13 years 11 months ago
    Adaptive Dynamic Inversion via Time-Scale Separation
    Download  www.engr.uconn.edu
    Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
    Naira Hovakimyan, E. Lavretsky, Chengyu Cao
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    TNN
    2008
    100views more  TNN 2008»
    Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
    13 years 11 months ago
    Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
    Download  www.ece.uic.edu
    In this paper, several sufficient conditions are established for the global asymptotic stability of recurrent neural networks with multiple time-varying delays. The Lyapunov
    Huaguang Zhang, Zhanshan Wang, Derong Liu
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    TNN
    2008
    97views more  TNN 2008»
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    13 years 11 months ago
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    Download  www.cs.washington.edu
    Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    TNN
    2008
    124views more  TNN 2008»
    Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
    13 years 11 months ago
    Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
    Download  home.dei.polimi.it
    Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
    Cesare Alippi, Manuel Roveri
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    TNN
    2008
    128views more  TNN 2008»
    A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
    13 years 11 months ago
    A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
    Download  itakura.kes.tul.cz
    Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
    Petr Tichavský, Zbynek Koldovský, Ar...
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    TNN
    2008
    177views more  TNN 2008»
    Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
    13 years 11 months ago
    Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
    Download  www.iro.umontreal.ca
    Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
    Yoshua Bengio, Jean-Sébastien Senecal
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    TNN
    2008
    78views more  TNN 2008»
    Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia
    13 years 11 months ago
    Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia
    Download  www.computing.surrey.ac.uk
    There have been many theories about and computational models of the schizophrenic disease state. Brain imaging techniques have suggested that abnormalities of the thalamus may con...
    Antony Browne, Angela Jakary, S. Vinogradov, Yu Fu...
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