Results 291 to 300 of about 72,703 (318)
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2006
As pattern recognition methods, subspace methods have attracted much attention in the fields of face, object and video-based recognition in recent years. In subspace methods, each instance is characterized by a subspace that is spanned by a set of vectors. Thus, the distance between instances reduces to the distance between subspaces.
Xichen Sun, QianSheng Cheng
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As pattern recognition methods, subspace methods have attracted much attention in the fields of face, object and video-based recognition in recent years. In subspace methods, each instance is characterized by a subspace that is spanned by a set of vectors. Thus, the distance between instances reduces to the distance between subspaces.
Xichen Sun, QianSheng Cheng
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On the subspace distance of the subspace codes
Summary: Let \(\mathcal{P}_q(n)\) be the set of all subspaces in the vector space \(\mathbb{F}_q^n\). There is a subspace distance \(d_S(U, V)\) between any two subspaces \(U\) and \(V\). A subspace code is also a subset of \(\mathcal{P}_q(n)\). It is known that \(d_S(U, V)\geq d_H(\nu(\pi U), \nu(\pi V))\), where \(\pi\in S_n\), \(\nu(U)\) denotes theSadrolhoffaz, Seyedeh Hawra +1 more
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Detection of subspace waveforms in subspace interference and noise
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002The natural models of multi-access communication and modern radar and sonar systems involve infinite-dimensional waveform spaces. A common problem in these systems is the detection of subspace signals measured in the presence of subspace interference and broadband noise.
John A. Gubner, Louis L. Scharf
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Interior-compact subspaces and differentiation in model subspaces
Journal of Mathematical Sciences, 2006Let \(\lambda_n\) be a sequence of complex numbers with positive imaginary parts, and assign to them some multiplicities \(m_n \in \mathbb N\). Denote by \(E\) the subspace of \(L_2(0, +\infty)\) spanned by the functions \(t^{k-1}\exp(-i\bar{\lambda}_nt)\), \(n \in \mathbb N\), \(1\leq k \leq m_n\).
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Generalized Latent Multi-View Subspace Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Changqing Zhang +2 more
exaly
Unsupervised feature selection based on variance–covariance subspace distance
Neural Networks, 2023Saeed Karami +2 more
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Subspace Outliers Detection by Signal Subspace Matching
2023 31st European Signal Processing Conference (EUSIPCO), 2023Mati Wax, Amir Adler
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