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Title: matlab code for color image classification using svm
Page Link: matlab code for color image classification using svm -
Posted By:
Created at: Sunday 07th of October 2012 03:03:57 AM
| image classification using svm matlab,
image classification code,
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color occurrence matrix code in matlab,
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matlab code for color autocorrelogram,
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sir provide me that code for my research work related to image classification ....etc
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Title: ecg signal classification using svm code in matlab
Page Link: ecg signal classification using svm code in matlab -
Posted By:
Created at: Thursday 22nd of November 2012 02:20:08 PM
| svm code in matlab for video classification,
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i am working for ecg signal classification using svm code in matlab ? if anybody have please send me. ....etc
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Title: svm for text categorization matlab code
Page Link: svm for text categorization matlab code -
Posted By:
Created at: Tuesday 13th of November 2012 10:20:04 PM
| svm image segmentation matcode,
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I have a big project in my University and TC is part of it. Please, I need the code urgently. ....etc
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Title: iris recognition svm matlab code
Page Link: iris recognition svm matlab code -
Posted By:
Created at: Wednesday 09th of January 2013 03:56:23 PM
| iris detection code,
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Sir I need a matlab code for classification using support vector machine in iris recognition.
Hope, you will help me. ....etc
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Title: svm kernel model face classification matlab code
Page Link: svm kernel model face classification matlab code -
Posted By:
Created at: Thursday 22nd of November 2012 02:18:04 PM
| matlab dtw face detectionfication software,
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i want Support vector machine matlab code. plz help me. ....etc
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Title: matlab code for mammogram classifications using svm classifier
Page Link: matlab code for mammogram classifications using svm classifier -
Posted By:
Created at: Friday 09th of November 2012 04:17:21 PM
| svm working code in matlab,
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face detection using svm matlab code,
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i need matlab code for classifying mammographic images using svm classifier
....etc
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Title: detection of exudates in diabetic retinopathy images using svm matlab code
Page Link: detection of exudates in diabetic retinopathy images using svm matlab code -
Posted By: kumudham
Created at: Friday 05th of October 2012 07:45:39 PM
| matlab code implementing image fusion using svm,
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Please send me the matlabcode for hard exudate detection using svm ....etc
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Title: detection of exudates in diabetic retinopathy images using svm matlab code
Page Link: detection of exudates in diabetic retinopathy images using svm matlab code -
Posted By:
Created at: Thursday 05th of February 2015 10:49:46 PM
| svm for detection diabetes matlab source code,
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i want matlab code fore detection of exudates from retinal images and also svm classifier plz help me ....etc
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Title: Automated Iris Recognition Technology Iris Biometric System
Page Link: Automated Iris Recognition Technology Iris Biometric System -
Posted By: smart paper boy
Created at: Wednesday 10th of August 2011 01:51:14 PM
| java source code for iris biometric,
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Automated Iris Recognition Technology & Iris Biometric System
The Iris as a Biometrics: The iris is an overt body that is available for remote assessment with the aid of a machine vision system to do automated iris recognition.
Iris recognition technology combines computer vision, pattern recognition, statistical inference, and optics.
The spatial patterns that are apparent in the human iris are highly distinctive to an individual.
Clinical observations
Developmental biology
Overview
Its suitability as ....etc
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Title: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression
Page Link: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression -
Posted By: smart paper boy
Created at: Friday 29th of July 2011 04:54:38 PM
| fuzzy svm matlab codeve propagation arun kumar notes pdf,
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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
ε -insensitive zone and regularization parameter C). The proposed methodology advocates analytic
parameter selection directly from the training data, rather than resampling approaches commonly
used in SVM applications. Good generalization performance of the proposed parameter selection is
demonstrated empirically using several low-dimensional and high-dimensional regression
problems. Further, we point out the importance of Vapnik’s ε -i ....etc
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