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A radiomics-based approach with automated segmentation for identifying symptomatic basilar artery plaques in acute stroke. [PDF]
J Cardiovasc Magn ResonChen J +12 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
exaly +2 more sources
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 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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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 ...
Sonja Schach +2 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 Ünser
exaly +2 more sources
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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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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