Support vector machine Archives — MATLAB Number ONE

MATLAB code for SVM with Soft Margin

global MATLAB — Mon, 21 Dec 2020 12:15:18 +0000

In classical (hard-margin) Support Vector Machine (SVM), vectors between parallel lines are not allowed. This can cause the problem of over fitting. Therefore, SVM with soft margin is used. In this case, multiple vectors between parallel lines are allowed. We did not use any MATLAB toolbox for the implementation of this code, […]

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Texture Segementation Algorithms for Electron Microscopy Images

global MATLAB — Wed, 09 May 2018 06:03:33 +0000

Image segmentation is a key bottleneck in analysis of electron microscope (EM) images, made challenging by the fact that many features in EM images differ not in intensity but in texture. I have explored several options for texture segmentation of images, based on feature vectors generated from local histograms of filtered versions of the image, which are then classified using a […]

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Cell counting by Hough transform and SVM classifier

global MATLAB — Mon, 02 Apr 2018 16:01:57 +0000

Analyzing liver cross-section images is a manual and laborious task, slowing down critical research toward finding alternative cures for patients with end-stage liver disease. In this project, we present methods to automatically count hepatocytes cells, count nuclei and classify liver vessel types, using input images of cell boundary and cell nuclei based on a dataset of 21 images. Compared to a […]

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Arduino code for EEG signals collection and MATLAB code for classification

global MATLAB — Wed, 14 Mar 2018 12:01:33 +0000

This project has two section : Code to collect data using the Arduino UNO. MATLAB code for EEG signal classification based on Support Vector Machine (SVM) If you are going to create link between MATLAB and Arduino and want to implement machine learning algorithms, This project can help you. This code has a document (79 […]

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Non Dominated Sorting Artificial Bee Colony for SVM optimization

global MATLAB — Wed, 07 Sep 2016 13:06:24 +0000

Support vector machine has many parameters. Accurate adjustment of these parameters has the impact of its performance. In this MATLAB code, we used the Non-Dominated Sorting Artificial Bee Colony for finding RBF sigma and box-constraint of SVM.

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