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Feature extraction

Known as: Linear feature extraction 
In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and buildsderived… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Abstract Sensor-based activity recognition seeks the profound high-level knowledge about human activities from multitudes of low… Expand
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Review
2018
Review
2018
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and… Expand
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Review
2018
Review
2018
Different levels of an intelligent video surveillance system (IVVS) are studied in this review.Existing approaches for abnormal… Expand
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Review
2018
Review
2018
Abstract Recently, deep learning has achieved great success in visual tracking. The goal of this paper is to review the state-of… Expand
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Review
2018
Review
2018
Abstract The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the… Expand
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Review
2018
Review
2018
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to… Expand
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Review
2018
Review
2018
The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of… Expand
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Review
2017
Review
2017
This paper presents an empirical study of feature extraction methods for the application of low-speed slew bearing condition… Expand
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Review
2017
Review
2017
This book presents computational methods for extracting the useful information from audio signals, collecting the state of the… Expand
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Review
2016
Review
2016
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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