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Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks
2020 IEEE International Conference on Big Data (Big Data), 2020Recently, many image recognition applications employing convolutional neural networks have great success with satisfactory accuracy performances due to the rapid development of computer hardware and neural network technology. In these applications, convolutional neural networks used a group of rotated images in random angles from the same object as the
Tzung-Pei Hong +3 more
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An improved multi-scale feature extraction method for nonlinear signals
Chaos: An Interdisciplinary Journal of Nonlinear ScienceThis paper proposes an innovative multi-scale feature extraction method for analyzing electroencephalogram (EEG) and electrocardiogram (ECG) signals. The method utilizes an energy functional derived from the Cahn–Hilliard (CH) phase field equation to extract features, aiming to improve classification accuracy.
Ziling Lu, Jian Wang
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Face features extraction based on multi-scale LBP
2010 2nd International Conference on Signal Processing Systems, 2010How to extract the strong features of face image is vital important in the face recognition technology. The extracted features should be robust for variation of illumination and expression. a novel feature extraction algorithm based on wavelet decomposition and LBP is proposed, which makes use of the idea of wavelet multiresolution and local ...
Xiaoshan Liu, Minghui Du, Lianwen Jin
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A new cloud detection method based on multi-scale feature extraction
2013 Ninth International Conference on Natural Computation (ICNC), 2013We introduced a new cloud detection method using multi-scale feature extraction (MFE). This new method focused on extracting features across or in different scales and orientations of image for classification rather than designing a sophisticated classifier.
Baoyun Wang +3 more
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Multi-scale FAST feature extraction heterogeneous design based on FPGA
2018 5th International Conference on Systems and Informatics (ICSAI), 2018Mage feature corner detection, is the first step in many visual positioning algorithms, such as tracking, positioning, slam. The fast feature corner point extraction method can greatly improve the real-time performance of positioning, thereby improving the positioning accuracy of objects in high-speed motion scenes, what’s more the accelerated ...
Rongtao Ding, Hanxu Sun, Ping Ye
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Statistical Characteristics-Based Multi-Scale Image Feature Extraction
Proceedings of the 2023 9th International Conference on Communication and Information Processing, 2023Yuehan Wu +3 more
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Fast Multi-scale fHOG Feature Extraction Using Histogram Downsampling
2019Object detection is crucial for autonomous robotic systems to interact with the world around them but, in robots with low computational resources, deep learning is difficult to take advantage of. We develop incremental improvements to related work on feature approximation and describe an adaptive fHOG feature pyramid construction scheme based on ...
Polceanu, Mihai +2 more
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MLFEN: Multi-scale Long-Distance Feature Extraction Network
2023Yuhua Wang, Yuhao Lian 0001
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Dehazing algorithm based on multi-scale feature extraction
International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 2022Lingjun Chen +4 more
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Traffic sign detection based on multi-scale feature extraction and cascade feature fusion
The Journal of Supercomputing, 2022Yongliang Zhang +4 more
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