Results 21 to 30 of about 21,965 (264)
Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors
IEEE Access, 2020 How to deal with data sets in high-dimensional space is the focus of image processing. At present, subspace clustering method is one of the most commonly used methods for processing high-dimensional data sets. Traditional subspace clustering assumes that
Zhongyuan Wang, Jinglei Liu
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Extended Averaged Learning Subspace Method for Hyperspectral Data Classification
Sensors, 2009 Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images.
Yoshifumi Yasuoka +4 more
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Application of Subspace-Based Detection Algorithm to Infrasound Signals in Volcanic Areas
Frontiers in Earth Science, 2021 Infrasonic signals investigation plays a fundamental role for both volcano monitoring purpose and the study of the explosion dynamics. Proper and reliable detection of weak signals is a critical issue in active volcano monitoring.
Mariangela Sciotto, Placido Montalto
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Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery
Sensors, 2023 The similarity between samples is an important factor for spectral reflectance recovery. The current way of selecting samples after dividing dataset does not take subspace merging into account.
Yifan Xiong, Guangyuan Wu, Xiaozhou Li
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Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems
IEEE Access, 2018 In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate and track
Muyiwa B. Balogun +2 more
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Speech Denoising in White Noise Based on Signal Subspace Low-rank Plus Sparse Decomposition
MATEC Web of Conferences, 2017 In this paper, a new subspace speech enhancement method using low-rank and sparse decomposition is presented. In the proposed method, we firstly structure the corrupted data as a Toeplitz matrix and estimate its effective rank for the underlying human ...
yuan Shuai, Sun Cheng-li
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Nihon Kikai Gakkai ronbunshu, 2015 The flatness of the metal thin plate shape is required in the production lines. Though, the convenient method for measuring small buckles of the thin plate has not been established. The tension distribution corresponding to the strain distribution occurs
Hirotoshi ARIHARA +2 more
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Cone-restricted subspace methods [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can ...
Takumi Kobayashi, Nobuyuki Otsu
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Tongxin xuebao, 2021 Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI +5 more
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Advanced Functional Materials, EarlyView.From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang +8 more
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