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    This was brought to you by:

    block this user Jose M Martinez-Otzeta Trusted member

    Research Fellow

    Fundacion Tekniker, 20600, Eibar, Spain

    Genetically Searched Classifier Hierarchies for Surface Identification

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    Automatic segmentation and segment classification problem is a very active research field in the mobile robotics area. The main goal of this paper is to identify the di#erent segments obtained from a picture taken by the robot as belonging to the surfaces that might appear on the environment in order to self-localize a mobile robot. The presented approach combines a number of component classifiers which are standard machine learning classification algorithms, using a hierarchical multiclassifier in which the appropriate hierarchy has been obtained by a specifically designed Genetic Algorithm.

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    New Full text for this article was not available? Send a request to the author(s).
    Title : Genetically Searched Classifier Hierarchies for Surface Identification
    Abstract : Automatic segmentation and segment classification problem is a very active research field in the mobile robotics area. The main goal of this paper is to identify the di#erent segments obtained from a picture taken by the robot as belonging to the surfaces that might appear on the environment in order to self-localize a mobile robot. The presented approach combines a number of component classifiers which are standard machine learning classification algorithms, using a hierarchical multiclassifier in which the appropriate hierarchy has been obtained by a specifically designed Genetic Algorithm.
    Subject : unspecified
    Area : Computer Science
    Language : English
    Affiliations : 
    Url : http://www.sc.ehu.es/ccwrobot/publications/papers/otzeta06genetically.pdf
    Doi : 10.1.1.61.9596

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