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toolbox implementation of an svm classifier  (MathWorks Inc)


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    MathWorks Inc toolbox implementation of an svm classifier
    Toolbox Implementation Of An Svm Classifier, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/svm+classifier+implementation/pm37666922-80-6-1
    Average 90 stars, based on 1 article reviews
    toolbox implementation of an svm classifier - by Bioz Stars, 2026-09
    90/100 stars

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    Plasmid Preparation:

    Article Title: A Drowsiness Reduction Strategy Utilizing Visual Stimulation With Different Colors of Light: An fNIRS Study
    Article Snippet: .. MATLAB R©was used for the implementation of the SVM classifier, input matrix ‘x’ is a 4-column matrix where each column corresponds to a classification parameter and the output vector ‘y’ contains among 2 possible values, ‘1’ for positive outcomes i.e., the subject is drowsy and ‘0’ for negative outcomes i.e., the subject is not drowsy, corresponding to each row vector in matrix ‘x’. ..

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    Article Title: Multi-Cascade of Complementary Features for Fast and Accurate Pedestrian Detection
    Article Snippet: We propose a cascade of two complementary features to detect pedestrians from static images quickly and accurately.. Co-occurrence Histograms of Oriented Gradients (CoHOG) descriptors have a strong classification capability but are extremely high dimensional.. On the other hand, Haar-like features are computationally efficient but not highly discriminative for extremely varying texture and shape information such as pedestrians with different clothing and stances.



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