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  1. Convex-Hull-based-Empirical-Mode-Decomposition-features

    Convex Hull Analytics of Intrinsic Mode Functions as Feature vectors for Machine learning problems by employing a set of amplitude and frequency modulated (AM–FM) signals called Intrinsic mode func…

    1

  2. Extended-MFDFA-features

    Augmented set of probabilistic features of the Multifractal Spectrum of Multifractal Detrended Fluctuation Analysis (MFDFA) is proposed which quantifies the geometrical distortion and statistical s…

    1

  3. Novel-Distance-Metric-family

    Optimal Distance metric for maximal margin classification

  4. Stochastic-HKMDHE

    A Multi-Objective Contrast Enhancement Algorithm

  5. tensorflow

    Forked from atulit123/tensorflow

    Computation using data flow graphs for scalable machine learning

    C++

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June 2017

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