[PDF] Top 20 AN EFFICIENT HEMORRHAGE DETECTION USING SVM CLASSIFIER
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AN EFFICIENT HEMORRHAGE DETECTION USING SVM CLASSIFIER
... Two categories of features are extracted for splat-based hemorrhage detection as follows: 1) splat features aggregated from pixel- based responses; 2) splat wise features no aggregation is required. Color ... See full document
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Automated Pulmonary Lung Nodule Detection using an Optimal Manifold Statistical Based Feature Descriptor and SVM Classifier
... An efficient automated pulmonary nodule detection systemaids the radiologists to detect the lung abnormalities at an early ...nodule detection system using a feature descriptor based on ... See full document
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Detection of cervical cancer by using thresholding, watershed segmentation and SVM classifier in image processing
... an efficient algorithm to detect cervical cancerous area with accurate ...by using edge detection in image ...by using hybrid ...by using hybrid segmentation and SVM ... See full document
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Intrusion Detection System Using SVM Classifier for Detecting DoS Attack in Cloud Platform
... Packet filtering is a firewall technique used to control network access by monitoring outgoing and incoming packets and allowing them to pass or halt based on the source and destination Internet Protocol (IP) addresses, ... See full document
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Detection of Macular Edema by using Various Techniques of Feature Extraction and Classification by SVM Classifier
... Due to the presence of an outsized variety of patients, the workload of associate specialist is extremely in substantialand automated detection systems square measure a requirement to limit the severity of the ... See full document
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Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN
... plate detection, street signs, advertisement bill boards, robotics, ...automatic detection, localization, extraction and recognition of text in natural scene images with cluttered ...detected using ... See full document
9
A Fast And Energy Efficient Path Planning Algorithm For Offline Navigation Using Svm Classifier
... Non-linear SVM Decision Tree based Classification ...hybrid classifier of SVM algorithm and decision tree algorithm into one multi-class classifier to solve multi-class classification ... See full document
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Intrusion Detection System using K- means, PSO with SVM Classifier: A Survey
... intrusions using Kohenen‟s SOM and classifying intrusions using resilient propagation neural ...intrusion detection technique based on evolutionary neural networks in order to determine the structure ... See full document
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Detection of Retinal Diseases Based on SVM Classifier
... regular monitoring, which is costly and time consuming. The accuracy and reliability of diagnosis is limited by the domain knowledge of different ophthalmologists. Therefore automatic diagnosis of Glaucoma attracts a lot ... See full document
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AN EFFICIENT DETECTION OF STRUCTURAL SIMILARITY IN MAMMOGRAMS USING SUPPORT VECTOR MACHINE (SVM) CLASSIFIER
... is efficient supervised pattern classifier widely used for pattern recognition and classification ...binary classifier built by constructing a hyper-plane to separate non-members of the given input ... See full document
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Detection Of Pharming Attack On Websites Using Svm Classifier
... an efficient machine learning technique for web site attacks is still a challenging ...by using ensemble or by using hyper-parameter tuning techniques ...introduce SVM to overcome overfitting ... See full document
5
Handling Duplicate Data Detection Of Query Result from Multiple Web Databases Using Unsupervised Duplicate Detection With Blocking Algorithm
... Similarity metrics forms the basis for determining the similarity of two strings/objects. There is a need to develop new algorithms that can present accurate results while take escaping into account various forms of ... See full document
7
Earlier Detection of Glaucoma using Empirical Wavelet Transform
... glaucoma using digital fundus images based on Empirical Wavelet Transform ...images using Least Squares Support Vector Machine (LS-SVM) ...95% using three-fold cross ... See full document
8
Face Detection and Sex Identification from Color Images using AdaBoost with SVM based Component Classifier
... occlusions. Detection of human faces is the first step in our proposed ...face detection method for color images in the presence of various lighting conditions as well as complex ...designed SVM-based ... See full document
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Skin disease prognosis from dermascopic images with image processing and IoT
... contours using a border tracing algorithm; to represent efficiently each extracted contour using chain codes; to take advantage of using chain codes ... See full document
9
LS-SVM based Algorithm for the Identification of QRS complexes in Single-lead ECG using Entropy Criterion
... Case II: Fig. 4 shows results obtained in lead aVR of record MO1_024. As depicted in fig. (b), the preprocessor removes noise and baseline wander present in the signal. It can be seen from Fig. (c) and (d) that in the ... See full document
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Title: ONLINE SENSOR BASED C4.5 ALGORITHM FOR STRUCTURAL HEALTH MONITORING
... SVM classification can be grouped into two types: linearly separable and linearly inseparable cases. In linearly inseparable case, the convex–concave hulls B(X) are intersected. Because support vectors are ... See full document
5
Classification of sex chromosomes using SVM classifier
... segmentation using Fuzzy c mean algorithm, these segmented output are fed to (GLCM) Grey Level Co-occurrence Matrices are used for feature extraction and then for classification SVM classifier has ... See full document
8
Abandoned Object Detection using SVM Classifier
... for detection of abandoned objects. The object detection is done by background subtraction with the help of appropriate ...Face detection is done by extracting features and can be captured ... See full document
6
Identification of Leaf using DWT and SVM Classifier
... Sofiene Mouine Et.al [4] has proposed a Advanced shape context for plant species identification using leaf image retrieval. This paper presents a novel method for leaf species identification combining local and ... See full document
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