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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
2021
Review
2021
Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction… Expand
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Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
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Review
2020
Review
2020
In this survey paper, we systematically summarize existing literature on bearing fault diagnostics with deep learning (DL… Expand
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Review
2020
Review
2020
High-speed trains have become one of the most important and advanced branches of intelligent transportation, of which the… Expand
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Review
2019
Review
2019
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
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Review
2019
Review
2019
Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing… Expand
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Review
2019
Review
2019
Cardiovascular diseases currently pose the highest threat to human health around the world. Proper investigation of the… Expand
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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
Abstract Human Face expression Recognition is one of the most powerful and challenging tasks in social communication. Generally… Expand
Review
2018
Review
2018
The ability of computers to recognise hand gestures visually is essential for progress in human-computer interaction. Gesture… Expand
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