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Title: facial gender recognition using svm matlab code
Page Link: facial gender recognition using svm matlab code -
Posted By: sidharth
Created at: Thursday 17th of August 2017 06:02:36 AM
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facial gender recognition using svm matlab code

Abstract

This paper presents a method for Gender Recognition using Support Vector Machine (SVM).This System
consists of two stages Feature Extraction and SVM Classification. In Feature Extraction we separate out eyes nose and mouth from the face. In SVM Classification those separated parts are grouped in two
parts.(Male anf Female). This System is carried out in two Process Training Process and Testing Process. In Training Process we create the database of few persons and mention their group ....etc

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Title: svm code for offline signature verification in matlab
Page Link: svm code for offline signature verification in matlab -
Posted By: Sasmita Mishra
Created at: Thursday 17th of August 2017 08:06:00 AM
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To get full information or details of svm code for offline signature verification in matlab please have a look on the pages

http://seminarsprojects.net/Thread-improved-offline-signature-verification-scheme-using-feature-point-extra-ction-method

http://seminarsprojects.net/Thread-signature-verification-code-using-matlab-fuzzy-logic

http://seminarsprojects.net/Thread-off-line-signature-verification-using-hmm-for-random-simple-and-skilled-forgeries

if you again feel trouble on svm code for offline signature verification in matlab please reply ....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: nishapjohn
Created at: Thursday 17th of August 2017 06:52:00 AM
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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
-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 -insens ....etc

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Title: fuzzy svm matlab code
Page Link: fuzzy svm matlab code -
Posted By: gianlorenzo
Created at: Thursday 17th of August 2017 06:24:52 AM
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sorry of interrupting you;
I need fuzzy support vector machin matlab code, if any help me i would be mercifull. ....etc

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Title: code matlab algoritm pso svm
Page Link: code matlab algoritm pso svm -
Posted By: Shibinm
Created at: Thursday 17th of August 2017 08:44:18 AM
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code matlab algoritm pso svm

Abstract

The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in an acceptable classification accuracy. Feature selection is of great importance in pattern classification, medical data processing, machine learning, and data mining applications. Therefore, a good feature selection method based on the number of features investigated for sample 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: kiranmechengg
Created at: Thursday 05th of October 2017 04:09:25 AM
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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: iris recognition svm matlab code
Page Link: iris recognition svm matlab code -
Posted By: harikrishnan.vadakkath
Created at: Thursday 17th of August 2017 06:02:36 AM
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To get full information or details of iris recognition svm matlab code please have a look on the pages

http://seminarsprojects.net/Thread-synopsis-on-iris-recognition-using-matlab

if you again feel trouble on iris recognition svm matlab code please reply in that page and ask specific fields in iris recognition svm matlab code ....etc

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Title: matlab code for detecting cancer part in medical images using svm
Page Link: matlab code for detecting cancer part in medical images using svm -
Posted By: amitansu
Created at: Thursday 17th of August 2017 05:31:04 AM
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To get full information or details of detecting cancer part in medical images using svm please have a look on the pages

http://seminarsprojects.net/Thread-analysis-of-breast-cancer-using-image-processing-techniques-using-matlab

if you again feel trouble on detecting cancer part in medical images using svm please reply in that page and ask specific fields in detecting cancer part in medical images using svm ....etc

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Title: matlab code for gender recognition using svm
Page Link: matlab code for gender recognition using svm -
Posted By: renjithk82
Created at: Thursday 17th of August 2017 06:37:28 AM
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Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics, such as gender, ethnicity, and age. In particular, recognizing human gender is important since people respond differently according to gender. In addition, a successful gender classification approach can boost the performance of many other applications, including person recognition and smart hu ....etc

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Title: code matlab algorithm pso svm
Page Link: code matlab algorithm pso svm -
Posted By: jaeksjayakrishnan
Created at: Thursday 17th of August 2017 06:04:41 AM
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filelist
psosvm
..\Examples
..\..\Classification
..\..\..\iris1v23.mat
..\..\..\iris2v13.mat
..\..\..\iris3v12.mat
..\..\..\linsep.mat
..\..\..\nlinsep.mat
..\..\Regression
..\..\..\example.mat
..\..\..\sinc.mat
..\..\..\titanium.mat
..\Optimiser
..\..\Makefile
..\..\ pr_loqo.c
..\..\ pr_loqo.h
..\..\ qp.c
..\..\qp.dll
..\best.mat
..\ binomial.m
..\cancer_input.mat
..\cancer_output.mat
..\ centrefig.m
..\ Classification_SVM_SteveGunn.asv
..\ Classification_SVM_SteveGunn.m
..\cmap.mat
..\ Contents.m
..\ fx.a ....etc

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