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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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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sir provide me that code for my research work related to image classification ....etc

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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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to get information about the topic detection of exudates in diabetic retinopathy images using svm full report refer the page link bellow

http://seminarsprojects.net/Thread-detection-of-diabetic-retinopathy-using-radial-basis-function ....etc

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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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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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i need matlab code for classifying mammographic images using svm classifier ....etc

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matlab code for detecting liver cancer

Now-a-days, there is rise in the death rate of patients suffering from liver cancer. The liver cancer rate is increasing year by year. Generally, liver cancer s death rate is very high because the disease causes no symptoms, so it s often not caught until it's in final stages. The Canadian Cancer Society says, if we catch someone's liver cancer early, their chance of defeating the disease is 70 to 80 per cent. If the disease is caught late, the average person survives about a year after diagnosis. We p ....etc

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automatic segmentation of digital images applied in cardiac medical images powerpoint ....etc

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