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    NPL
    2002
    117views more  NPL 2002»
    Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model
    14 years 9 months ago
    Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model
    Download  ci.louisville.edu
    This paper presents a model of a network of integrate-and-fire neurons with time delay weights, capable of invariant spatio-temporal pattern recognition. Spatio-temporal patterns a...
    Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurad...
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    NPL
    2007
    109views more  NPL 2007»
    Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
    14 years 9 months ago
    Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
    Download  escher.elis.ugent.be
    Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
    Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...
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    NPL
    2010
    135views more  NPL 2010»
    A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
    14 years 8 months ago
    A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
    Download  parnec.nuaa.edu.cn
    The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
    Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
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    NPL
    2006
    85views more  NPL 2006»
    A Neural Model for Context-dependent Sequence Learning
    14 years 9 months ago
    A Neural Model for Context-dependent Sequence Learning
    Download  www.informatics.sussex.ac.uk
    A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
    Luc Berthouze, Adriaan G. Tijsseling
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    NPL
    2006
    113views more  NPL 2006»
    A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
    14 years 9 months ago
    A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
    Download  www.cs.ucf.edu
    Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
    Taskin Koçak, Matthew Draper
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