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Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(Slovak Univ Tech Bratislava, 2008-01-01)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Hierarchical multi-label classification using local neural networks
(ElsevierAcademic PressSan Diego, 2014-02)
Hierarchical multi-label classification is a complex classification task where the classes involved in the problem are hierarchically structured and each example may simultaneously belong to more than one class in each ...
Analyzing the effect of hyperparameters in a automobile classifier based on convolutional neural networks
(IEEE Computer Society, 2017)
In the recent years the convolutional neural network is used successfully in applications of image classification, due to its deep and hierarchical architecture. The hyper parameters of the convolutional neural networks ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(Slovak Univ Tech Bratislava, 2008-01-01)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(2008-10-06)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(Slovak Univ Tech Bratislava, 2014)