Search Results for "total least squares c code"

Showing 4 open source projects for "total least squares c code"

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  • 1
    BioXTAS RAW

    BioXTAS RAW

    Processing and analysis of Small Angle X-ray Scattering (SAXS) data.

    ... (EFA) or the regularized alternating least squares (REGALS) methods. Active source code is now maintained on github: https://github.com/jbhopkins/bioxtasraw To install: Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab. User guides: RAW guides are available at: http://bioxtas-raw.readthedocs.io/ and in the Files tab. To contact us, see: https://bioxtas-raw.readthedocs.io/en/latest/help.html
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    Downloads: 170 This Week
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  • 2

    DeltaCalibrationSim

    Simulator for delta calibration parameters

    This is a program to simulate the errors in delta printers to help one understand how modifying any of the correction parameters will effect the height map. It can also display errors in x, and y directions, as well as the magnitude of xy, and xyz errors. Custom color gradients are supported, including using alpha, making it easy to find test points for a least squares calibration routine. Images can be exported to any format Qt supports (PNG, BMP, JPG, PDF, etc). Simulation parameters can...
    Downloads: 0 This Week
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  • 3

    LWPR

    Locally Weighted Projection Regression (LWPR)

    Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar...
    Downloads: 0 This Week
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  • 4
    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 massive...
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    Ingest Package Label Data Using OCR Software

    PackageX OCR API converts any smartphone into a powerful universal label scanner that reads every bit of text on the label, including barcodes and QR

    Our state-of-the-art OCR technology uses robust deep learning models and proprietary algorithms to extract information from package labels.
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