Search Results for "classification" - Page 2

Showing 34 open source projects for "classification"

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  • 1
    Provides pre-compiled MEX functions that wrap around the libsvm C library. Many enhancement are applied to the C version of the library to speed up Matlab usage. 64-bit only.
    Downloads: 1 This Week
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  • 2
    SHMTools is set of compatible software tools (mostly Matlab based) for structural health monitoring (SHM) research. This includes algorithms for system design, modeling, data acquisition, feature extraction, classification, and prognosis.
    Downloads: 0 This Week
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  • 3
    The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.
    Downloads: 0 This Week
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  • 4
    Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).
    Downloads: 0 This Week
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  • 5
    Matlab Classification Toolbox contains implementations of the following classifiers: Naive Bayes, Gaussian, Gaussian Mixture Model, Decision Tree and Neural Networks. This toolbox allows users to compare classifiers across various data sets.
    Downloads: 0 This Week
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  • 6
    The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
    Downloads: 0 This Week
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  • 7
    ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.
    Downloads: 0 This Week
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  • 8
    Human action classification using a spatio-temporal maximum average correlation height filter.
    Downloads: 0 This Week
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  • 9
    nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
    Downloads: 0 This Week
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