Results 11 to 20 of about 14,028 (258)
Deep Subspace Clustering with Block Diagonal Constraint
Applied Sciences, 2020 The deep subspace clustering method, which adopts deep neural networks to learn a representation matrix for subspace clustering, has shown good performance.
Jing Liu, Yanfeng Sun, Yongli Hu
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Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Subspace clustering methods have become a powerful tool to cluster hyperspectral imaging (HSI) data as they ensure theoretical guarantees and empirical success.
Zijia Zhang +5 more
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Texture representations using subspace embeddings [PDF]
Pattern Recognition Letters, 2013 In this paper, we propose a texture representation framework to map local texture patches into a low-dimensional texture subspace. In natural texture images, textons are entangled with multiple factors, such as rotation, scaling, viewpoint variation, illumination change, and non-rigid surface deformation.
Xiaodong Yang 0001, Yingli Tian
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This article aims to solve the problem of the hyperspectral imagery (HSI) demosaicing under a novel subsampling hyperspectral sensing strategy. The existing method utilizes the periodic structure of subsampling to estimate a fixed subspace in matrix form
Shan-Shan Xu +3 more
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Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Hyperspectral image (HSI) denoising based on nonlocal subspace representation has attracted a lot of attention recently. However, most of the existing works mainly focus on refining the representation coefficient images (RCIs) using certain nonlocal ...
Hailin Wang +5 more
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Invariant subspaces for closed *-representations of *-algebras [PDF]
Proceedings of the American Mathematical Society, 1992 The first purpose of this paper is to investigate the selfadjointness of ∗ *
Ikeda, Itsuko, Inoue, Atsushi
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Slow feature subspace: A video representation based on slow feature analysis for action recognition
Machine Learning with Applications, 2023 This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead to an
Suzana Rita Alves Beleza +3 more
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Remote Sensing, 2022 Clustering of multi-source geospatial big data provides opportunities to comprehensively describe urban structures. Most existing studies focus only on the clustering of a single type of geospatial big data, which leads to biased results.
Qiliang Liu, Weihua Huan, Min Deng
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Classification of unions of subspaces with sparse representations [PDF]
2013 Asilomar Conference on Signals, Systems and Computers, 2013 We propose a preliminary investigation on the benefits and limitations of classifiers based on sparse representations. We specifically focus on the union of subspaces data model and examine binary classifiers built on a sparse non linear mapping (in a redundant dictionary) followed by a linear classifier. We study two common sparse non linear mappings (
Alhussein Fawzi, Pascal Frossard
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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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