Showing 9 open source projects for "pixelexperence-plus"

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    LRSLibrary

    LRSLibrary

    Low-Rank and Sparse Tools for Background Modeling and Subtraction

    LRSLibrary is a MATLAB library offering a broad collection of low-rank plus sparse decomposition algorithms, primarily aimed at background/foreground modeling from videos (background subtraction) and related computer vision tasks. Compatibility across MATLAB versions (tested in R2014–R2017) The library includes matrix and tensor methods (over 100 algorithms) and has been tested across MATLAB versions from R2014 onward.
    Downloads: 0 This Week
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  • 2
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 2,923 This Week
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  • 3
    This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
    Downloads: 0 This Week
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  • 4
    ECOC PAK is a C++ Library for the Error Correcting Output Codes classification framework. It supports several coding and decoding strategies as well as several classifiers.
    Downloads: 0 This Week
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  • 5
    Computer Vision Application.
    Downloads: 0 This Week
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  • 6

    DHAC distribution

    DHAC distribution version

    DHAC distribution
    Downloads: 0 This Week
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  • 7
    An adaptive neural network and evolutionary algorithms approach to the machine learning tasks, based on the modular graph grammars. Tested on the "two spirals problem" and other tasks. Implemented in Matlab and C++.
    Downloads: 0 This Week
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  • 8
    An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
    Downloads: 0 This Week
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  • 9
    GURLS

    GURLS

    Grand Unified Regularized Least Squares

    GURLS - (Grand Unified Regularized Least Squares) is a software package for training multiclass classifiers based on the Regularized Least Squares (RLS) loss function. The initial version has been designed and implemented in Matlab. Teh current goal is to implement an object-oriented C++ version to allow for a wider distribution of the library within the open-source developers' comunity. Main functionalities already implemented are: * Automatic parameter selection. * Handle...
    Downloads: 0 This Week
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