Search Results - Madrid-Herrera, Luis

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  1. 1
    AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation

    AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation by Madrid-Herrera, Luis, Chacon-Murguia, Mario I., Ramirez-Quintana, Juan A.

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  2. 2
    Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes

    Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes by Ramirez-Quintana, Juan A., Madrid-Herrera, Luis, Chacon-Murguia, Mario I., Corral-Martinez, Luis F.

    Published in Cognitive computation
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  3. 3
    A fuzzy approach to evaluate image segmentation based on image complexity

    A fuzzy approach to evaluate image segmentation based on image complexity by Madrid-Herrera, Luis, Chacon-Murguia, Mario Ignacio, Ramirez-Quintana, Juan Alberto

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  4. 4
    Human Image Complexity Analysis Using a Fuzzy Inference System

    Human Image Complexity Analysis Using a Fuzzy Inference System by Madrid-Herrera, Luis, Chacon-Murguia, Mario I., Posada-Urrutia, Daniel A., Ramirez-Quintana, Juan A.

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