Results 211 to 220 of about 112,978 (252)
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Automated feature extraction for supervised learning
Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence, 2002Feature extraction has traditionally been a manual process and something of an art. Methods derived from statistics and linear systems theory have been proposed, but by general consensus effective feature extraction remains a difficult problem. Recently W.
Philip D. Laird, Ronald Saul
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Automated feature extraction and identification of colon carcinoma
Analytical and quantitative cytology and histology, 1998OBJECTIVE: To assess an automated algorithm, developed for the classification of normal and cancerous colonic mucosa, using geometric analysis of features and texture analysis. STUDY DESIGN: Twenty-one images were analyzed 10 from normal and 11 from cancerous mucosa.
A N, Esgiar +3 more
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Automated Scene Analysis by Image Feature Extraction
2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2016Automated scene analysis can classify images into semantically meaningful categories and can be achieved by various means [1][2]. In this study, we have used spatial envelope to extract features from 529 images of 3 semantic scene categories i.e. indoor, landscape and outdoor scenes.
Syed Omer Gilani +4 more
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Automated Body Feature Extraction From 2D Images
Expert Systems With Applications, 2011Extracting human body features automatically from 2D images provides a fast and easy approach to collect anthropometric data. This paper presents a systematic method to detect feature points on the silhouette of human body from the front and side images.
Mao‐Jiun J. Wang
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The ecgFEAT Toolbox for Automated Cardiovascular Feature Extraction and Analysis
2016 2nd International Conference on Frontiers of Signal Processing (ICFSP), 2016The presented work approaches the topic of method development for automated feature extraction and ECG analysis. The MATLAB-based toolbox ecgFEAT (ECG Feature Extraction and Analysis Toolbox) includes a comprehensive set of algorithms to extract temporal, morphological and statistical information for time analysis and heart rate variability (HRV ...
Dilana Hazer-Rau, Harald C Traue
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Automating Feature Extraction and Feature Selection in Big Data Security Analytics
2018Feature extraction and feature selection are the first tasks in pre-processing of input logs in order to detect cybersecurity threats and attacks by utilizing data mining techniques in the field of Artificial Intelligence. When it comes to the analysis of heterogeneous data derived from different sources, these tasks are found to be time-consuming and ...
Sisiaridis, Dimitrios +1 more
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Feature Extraction and Decision Procedure for Automated Inspection of Textured Materials
Pattern Recognition Letters, 1984This paper proposes a general system approach applicable to the automatic inspection of textured material. First, the input image is preprocessed in order to be independent of non-uniformities. A tone-to-texture transform is then performed by mapping the original grey level picture on a multivariate local feature sequence, which turns out to be ...
Michael A. Unser
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Feature Extraction From Doppler Ultrasound Signals for Automated Diagnostic Systems
Computers in Biology and Medicine, 2005This paper presented the assessment of feature extraction methods used in automated diagnosis of arterial diseases. Since classification is more accurate when the pattern is simplified through representation by important features, feature extraction and selection play an important role in classifying systems such as neural networks.
Inan Güler, Elif Derya Übeylı
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Automated Noise Removal and Feature Extraction in ECGs
Arabian Journal for Science and Engineering, 2013In this study, a new viewpoint of electrocardiogram (ECG) denoising and feature extraction is presented. A filter bank is designed to target diverse form of noise such as power line interference, electromyographic artifacts, base line wander and different motion artifacts.
Rabya B. K. Hoti, Shahid Khattak
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CAD-based automated machinable feature extraction
Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 2002Feature technology is used to bridge the gap between design and manufacturing, several approaches have been used to support the existing CAD systems. However, most of design features can not be applied to the downstream process directly. We explore an automatic scheme which can extract machinable features from CAD data and use it to determine related ...
null Chia-Hwa Liu, null Zen Chen
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