Results 31 to 40 of about 3,899,370 (385)
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 We propose a novel decentralized feature extraction approach in federated learning to address privacy-preservation issues for speech recognition. It is built upon a quantum convolutional neural network (QCNN) composed of a quantum circuit encoder for ...
Chao-Han Huck Yang +6 more
semanticscholar +1 more source
Analysis and Evaluation of Feature Selection and Feature Extraction Methods
International Journal of Computational Intelligence Systems, 2023 Hand gestures are widely used in human-to-human and human-to-machine communication. Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is closely related to pattern recognition, where overfitting can occur when ...
Rubén E. Nogales, Marco E. Benalcázar
doaj +1 more source
Frontiers in Neurorobotics, 2021 The art of oil painting reflects on society in the form of vision, while technology constantly explores and provides powerful possibilities to transform the society, which also includes the revolution in the way of art creation and even the way of ...
Tong Chen, Juan Yang
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Relational autoencoder for feature extraction [PDF]
2017 International Joint Conference on Neural Networks (IJCNN), 2017 Feature extraction becomes increasingly important as data grows high dimensional. Autoencoder as a neural network based feature extraction method achieves great success in generating abstract features of high dimensional data. However, it fails to consider the relationships of data samples which may affect experimental results of using original and new
David B. Skillicorn +3 more
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Indoor image representation by high-level semantic features [PDF]
IEEE Access 7 ,2019, 2019 Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing feature extraction methods, which extract features based on pixels, color, shape/object parts or objects on images, suffer from limited capabilities in describing semantic ...
arxiv +1 more source
A color extraction algorithm by segmentation
Scientific Reports, 2023 The segmentation and extraction on color features can provide useful information for many different application domains. However, most of the existing image processing algorithms on feature extraction are gray image-based and consider only one ...
QingE Wu +6 more
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Image Feature Extraction Acceleration [PDF]
, 2016 Peer ...
Fernández Berni, Jorge +6 more
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Plant leaf tooth feature extraction.
PLoS ONE, 2019 Leaf tooth can indicate several systematically informative features and is extremely useful for circumscribing fossil leaf taxa. Moreover, it can help discriminate species or even higher taxa accurately.
Hu Wang +4 more
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Advancements in Research on Micro-motion Feature Extraction in the Terahertz Region
Leida xuebao, 2018 With years of development and accumulation, a considerable amount of research has focused on micro-motion, an important auxiliary feature in radar target detection and recognition. With the recent rise of terahertz, micro-motion feature extraction in the
Yang Qi +3 more
doaj +1 more source
Text feature extraction based on deep learning: a review
EURASIP Journal on Wireless Communications and Networking, 2017 Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new
Hong Liang +3 more
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