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    IJON
    1998
    44views more  IJON 1998»
    Hierarchical RBF networks and local parameters estimate
    14 years 9 months ago
    Hierarchical RBF networks and local parameters estimate
    Download  www.dti.unimi.it
    The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
    N. Alberto Borghese, Stefano Ferrari
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    ICRA
    2007
    IEEE
    140views Robotics» more  ICRA 2007»
    On the Performance of Multi-robot Target Tracking
    15 years 4 months ago
    On the Performance of Multi-robot Target Tracking
    Download  www-users.cs.umn.edu
    Abstract— In this paper, we study the accuracy of Cooperative Localization and Target Tracking (CLATT) in a team of mobile robots, and derive analytical upper bounds for the posi...
    Faraz M. Mirzaei, Anastasios I. Mourikis, Stergios...
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    ICML
    2005
    IEEE
    195views Machine Learning» more  ICML 2005»
    Active learning for Hidden Markov Models: objective functions and algorithms
    15 years 10 months ago
    Active learning for Hidden Markov Models: objective functions and algorithms
    Download  www.cs.cmu.edu
    Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
    Brigham Anderson, Andrew Moore
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    TSMC
    2010
    133views Artificial Intelligence» more  TSMC 2010»
    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
    14 years 4 months ago
    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
    Download  users.ecs.soton.ac.uk
    A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
    Sheng Chen, Xia Hong, Chris J. Harris
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    IJRR
    2010
    102views more  IJRR 2010»
    Space-carving Kernels for Accurate Rough Terrain Estimation
    14 years 8 months ago
    Space-carving Kernels for Accurate Rough Terrain Estimation
    Download  www.ri.cmu.edu
    Abstract— Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding fast...
    Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, ...
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