SVM classifier
1. Analysis of knn and svm classifier for image classification
... Multiclass SVM classifier and comparison of it with KNN classifiers, in application to retrieve a correct output image from database in reference to query ...
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Translation of Unseen Bigrams by Analogy Using an SVM Classifier
... In the issue of translation using analogy, one of the main drawbacks should be addressed is the prob- lem of ”over-generative”. Analogy is able to cap- ture the most divergences of translation in the most cases, yet it ...
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A FOOD RECOGNITION SYSTEM FOR DIABETIC PATIENTS USING SVM CLASSIFIER
... A database of fast-food images and videos was created and used by Chen et al. [15] for benchmarking of the food recognition problem. Two image description methods were comparatively evaluated based on color histograms ...
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Tamil Character Recognition Using CNN-SVM Classifier
... last SVM classifier is used for extracting the feature manually and this is the last step of ...last SVM classifier is used for extracting the feature manually and this is the last step of ...
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Automatic Machine Learning Forgery Detection Based On SVM Classifier
... The SVM classify the illumination for each pair of faces in an image as either consistent or inconsistent. Assuming all selected faces are illuminated by the same light source, we tag an image as manipulated if ...
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Flawless Fingerprint Matching Approach based on SVM Classifier
... Abstract: Elastic distortion of fingerprints is such of the major causes for false non-match. While this problem affects all fingerprint recognition applications, it is especially dangerous in negative recognition ...
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Lung Cancer Detection using SVM Classifier and MFPCM Segmentation
... Pre-processing the given test image for reducing noise and for enhancing the contrast by Contrast Limited Adaptive Histogram Equalization (CLAHE).To project the affected portion MFPCM technique segmentation is applied. ...
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Fruit Disease Detection Using GLCM And SVM Classifier
... The above diagram shows the flow of data and the relation between the methods. When we feed the input with the image from the dataset, it is subjected to pre-processing and a segmented image is obtained. Then feature ...
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Hardware Acceleration of SVM classifier using Zynq SoC FPGA
... When SVM is modelled only using Software, it is a time consuming algorithm due to its high computational ...intensive classifier part of the algorithm as a custom hardware Intellectual Property (IP) ...
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A Neoteric Method for the Classification of Text Using SVM Classifier
... ABSTRACT: in today’s world, browsing for exact information has become very tedious job as the number of electronic documents on the Internet has grown big and large. It is necessary to classify the documents into ...
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Text Recognition By Using Character Descriptor And SVM Classifier
... a SVM classifier for each character class in text understanding by the character descriptor we are extracting feature of that character text understanding is able to help search for expect objects from ...
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Detection Of Pharming Attack On Websites Using Svm Classifier
... In order to mitigate pharming attack, Target Identification algorithm was used along with third party DNS lookup method. To know the legitimacy of webpage, R. Gowtham, A. V. Vidyapeetham, and I. Krishnamurthi used IP ...
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Detection of microaneurysm in fundus retinal images using SVM classifier
... Image segmentation is to partition an image into mutually exclusive and exhausted regions. The feature extraction includes evaluating the various features of a segmented image in order to form a feature vector required ...
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Classification of brain MRI images by comparing SVM classifier and PNN classifier using Confusion Matrix
... class SVM generated 40 classes separately for authorized ...multi-class SVM is ...manner. SVM classifier’s retrieved data from the template was generated in feature extraction ...
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ENHANCED SVM CLASSIFIER FOR BREAST CANCER DIAGNOSIS
... Breast cancer is the leading disease to cause death especially in women. In this paper, a frame work based algorithm for the classification of cancerous/non-cancerous data is developed using application of supervised ...
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Classification of MRI Brain Image using SVM Classifier
... values. SVM (Support Vector machine) classifier is to group items that have similar feature values into three categories such as normal, benign and ...Then SVM classifier is followed by KNN ...
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Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier
... of SVM. In this, SVM used for the classification of training data and predicting the class of new instance based on the classification model built by SVM on training process ...that SVM gives ...
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Identification of Leaf using DWT and SVM Classifier
... Bayes’s classifier to classify the ...trained SVM to knowledge base and SVM classifier will classifies the type of leaf according to the extracted feature ...
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Recognition of Printed and Handwritten Kannada Characters using SVM Classifier
... The optical character recognition is the process of converting textual scanned image into a computer editable format but one of the major challenges faced is the recognition of character from the image. The proposed ...
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Classification of sex chromosomes using SVM classifier
... SVM classifier has been used to classify the first and second chromosome. Optimum linear separating hyper plane has been used to separate two sets of features. This hyper plane produce maximum and minimum ...
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