Evaluation Method for Feature Detection and Mapping
An Improved Feature-Based Method for Fall Detection
... Improved Feature-Based Method for Fall Detection Leiyue YAO, Wei YANG, Wei HUANG Abstract: Aiming at improving the efficiency and accuracy of fall detection, this paper fuses traditional ...
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Robust Tracking Via Feature Mapping Method and Support Vector Machine
... KEYWORDS: Expectation maximization, Support Vector machine, Positivetemplates,occlusion detection, Tracking,Accuracy. 1.INTRODUCTION: Visual Object tracking is a fundamental problem in image processing. It has ...
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Performance Evaluation of Feature Detection Methods for Visual Measurements
... FAST method had a worst performance on compression ...SIFT method is unsatisfactory for its low computing ...FAST method has similar invariances with the SURF method in different ...
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SMS Phishing Detection Using Oversampling and Feature Optimization Method
... phishing detection framework using oversampling and feature optimization method is presented through handling with imbalanced data problem and analyzing different types ...oversampling method ...
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A Novel Method Of Cyber Threat Detection Using Feature Extraction
... An event that can be destructive can be defined by its textual and temporal features. Such events can be related to the local region or even national or international level. Identification of such events and for prompt ...
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Textual Feature Analysis and Classification Method for the Plant Disease Detection
... The detection of diseases at their early stages is very important task and it includes judicious diagnosis and appropriate ...the detection of plant diseases and ...segmentation, feature extraction ...
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Preliminary theoretical results on a feature relevance determination method for Generative Topographic Mapping
... any method that allowed ranking the features according to their relative relevance and, ultimately, from a feature selection ...method. Feature selection (FS) has for long been the preserve of ...
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Evaluation and Applying Feature Extraction Techniques for Face Detection and Recognition
... (BPNN). Feature extraction methods are used to extract features like eye, nose, mouth, and eyebrows for face recognition and reduce the dimensionality ...three feature extraction algorithms, namely LBP, HOG ...
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A Feature Space-based Business Model Quality Evaluation Method
... However, business modeling has been consid- ered as a process which requires rich know- ledge and experiences about the business, i.e., if a modeler had no deep understandings on real-life business, the models he creates ...
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Bayesian Spam Detection System Using Hybrid Feature Selection Method
... important method for communicating, gaining information and looking for ...spam-blocking method is collecting a large amount of spams and using such spams to train a classifier, so as to get the classifier ...
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Integral and Indexing based Feature Extraction Method for Human Detection and Tracking
... Surveillance, Detection, Object Detection and Tracking, Feature Extraction, keypoints detection, Point tracking ...Object detection is techniques used in computer vision applications ...
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ACO and SVM Selection Feature Weighting of Network Intrusion Detection Method
... other feature selection method [3,4]. In addition to the feature subset selection, network intrusion detection results are also closely related to the classifier and ...intrusion ...
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Research on Flame Detection Method by Fusion Feature and Sparse Representation Classification
... representation method for flame detection is a reliable and cost-effective solution with high recognition accuracy and low false alarm rate in real-time ...
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An Evaluation Method for Unsupervised Anomaly Detection Algorithms
... This section presents ten clustering validation metrics that will be tested for the evalua- tion of the goodness of anomaly detection. Since the target of clustering is ensuring objects within each cluster similar ...
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Exception Detection for ATM Transaction Status Based on a Self-Organizing Feature Mapping Model
... the method of K-means classifi- ...anomaly detection model of multi- utility and multi-linear regre-ssion to analyze transaction success rate for getting exceptional points to make a timely ...
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A Novel Kinship Verification Method Based on Deep Transfer Learning and Feature Nonlinear Mapping
... proposed method markedly improves the accuracy of kinship verification on the TSKinFace and KinFaceW-II datasets, but worsens on the KinFaceW-I ...important feature information or destroy original ...
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A Novel Traffic Stream Detection Method Based on Inverse Perspective Mapping
... traffic detection methods include electromagnetic induction device method, ultrasonic detection method and video-based traffic detection ...
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Feature Evaluation for Detection of COVID-19 in Pulmonary CT Scan Images
... 3.2 Evaluation The evaluation of each feature determines which param- eters chosen for the classifier and which feature vector is better for detecting the signs of the disease in CT scan ...
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Meta Feature Classification to Explore Automatic Detection of Malware Using Segmentation Method
... International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-10, August 2019 VI. CONCLUSION In this paper, we present and examined the ensemble Meta classifier in ...
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A Model-Driven Method for Quality Reviews Detection: An Ensemble Model of Feature Selection
... 2 School of Business, University of Shanghai for Science and Technology, Shanghai, 200093, China 3 Saic General Motors Sales Co., LTD, Shanghai, 201206, China Abstract: With the rapid growth of e-commerce and ...
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