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Feature extraction method of ship radiated noise based on BOA-VMD and slope entropy
Frontiers in Physics, 2022 Although the technical requirements for the feature extraction of ship radiated noise (SRN) in the fields of national defense and economy increase with each passing day, the complexity of the marine environment makes the feature extraction of SRN ...
Yingmin Yi, Yingmin Yi, Ge Tian
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Face Detection with Effective Feature Extraction [PDF]
, 2010 There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar-like features have been adopted as the method of choice for ...
C. Huang +10 more
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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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Prediction of diabetic protein markers based on an ensemble method
Frontiers in Bioscience-Landmark, 2021 Introduction: A diabetic protein marker is a type of protein that is closely related to diabetes. This kind of protein plays an important role in the prevention and diagnosis of diabetes.
Kaiyang Qu, Quan Zou, Hua Shi
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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
Coloring Local Feature Extraction [PDF]
, 2006 Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary ...
van de Weijer, Joost, Schmid, Cordelia
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Multi-Label Feature Extraction Method Relied on Feature-Label Dependence Auto-encoder
Jisuanji kexue yu tansuo, 2020 In multi-label learning, how to deal with high-dimensional features has always been one of the research difficulties. The feature extraction algorithm can effectively solve the problem of classification performance degra-dation caused by high ...
CHENG Yusheng, LI Zhiwei, PANG Shufang
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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
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A new kernel method for hyperspectral image feature extraction [PDF]
, 2017 Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Gao, Lianru +3 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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