Results 11 to 20 of about 27,852 (244)
Ergodic Subspace Analysis [PDF]
Journal of Intelligence, 2020 Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time.
von Oertzen, Timo +2 more
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Journal of Mathematical Physics, 2017 We extend the notion of anticoherent spin states to anticoherent subspaces. An anticoherent subspace of order t is a subspace whose unit vectors are all anticoherent states of order at least t. We use Klein’s description of algebras of polynomials which are invariant under finite subgroups of SU(2) on C2 to provide constructions of anticoherent ...
Rajesh Pereira, Connor Paul-Paddock
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Subspace Polynomials and Cyclic Subspace Codes [PDF]
IEEE Transactions on Information Theory, 2015 Subspace codes have received an increasing interest recently due to their application in error-correction for random network coding. In particular, cyclic subspace codes are possible candidates for large codes with efficient encoding and decoding algorithms.
Eli Ben-Sasson +3 more
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Subspace Procrustes Analysis [PDF]
International Journal of Computer Vision, 2015 Procrustes Analysis (PA) has been a popular technique to align and build 2-D statistical models of shapes. Given a set of 2-D shapes PA is applied to remove rigid transformations. Then, a non-rigid 2-D model is computed by modeling (e.g., PCA) the residual.
Perez-Sala, Xavier +4 more
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Physical Review Letters, 2002 5 pages, 1 figure, to be published in Phys.
FACCHI, PAOLO, PASCAZIO, Saverio
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Subspace Recovery From Structured Union of Subspaces [PDF]
IEEE Transactions on Information Theory, 2015 Lower dimensional signal representation schemes frequently assume that the signal of interest lies in a single vector space. In the context of the recently developed theory of compressive sensing (CS), it is often assumed that the signal of interest is sparse in an orthonormal basis.
Wimalajeewa, Thakshila +2 more
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Covering of subspaces by subspaces [PDF]
Designs, Codes and Cryptography, 2012 arXiv admin note: text overlap with arXiv:0805 ...
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Low-Light Image Enhancement Using Volume-Based Subspace Analysis
IEEE Access, 2020 Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under challenging illumination conditions. Even though the significant progress has been made for enhancing the poor visibility, the intrinsic noise ...
Wonjun Kim +4 more
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Journal of Algebra, 2000 For a finite-dimensional algebra \(A\) over an infinite field \(K\), the subspace semigroup \({\mathcal S}(A)\) consists of all subspaces of \(A\) with operation \(V*W=\text{lin}_KVW\), the linear span of \(VW\) over \(K\). The authors describe the structure of \({\mathcal S}(A)\), showing in particular that, similar to any linear algebraic semigroup, \
Okniński, Jan, Putcha, Mohan S.
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Remote Sensing, 2022 The classical multiple signal classification (MUSIC) algorithms mainly have two limitations. One is an insufficient number of snapshots, which usually causes an ill-posed sample covariance matrix in many real applications.
Xuejun Zhang, Dazheng Feng
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