Search Results for "matlab code for image classification using svm"

Showing 5 open source projects for "matlab code for image classification using svm"

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  • 1
    MATLAB Deep Learning Model Hub

    MATLAB Deep Learning Model Hub

    Discover pretrained models for deep learning in MATLAB

    Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.
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  • 2
    dibnn

    dibnn

    Drop In the Bucket Neural Networks

    One more lightweight neural network in C.
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  • 3
    GeoTools, the Java GIS toolkit

    GeoTools, the Java GIS toolkit

    Toolkit for working with and mapping geospatial data

    GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.
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    Downloads: 301 This Week
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  • 4

    JSiteDescriptor

    Binding site descriptor generation for SVM based classification.

    A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too).
    Downloads: 0 This Week
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  • 5

    golib

    C++ collection mostly for image processing

    libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. ...
    Downloads: 0 This Week
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