Results 71 to 80 of about 328,340 (188)
Linear geometries of Baer subspaces
Bulletin of the Belgian Mathematical Society - Simon Stevin, 1999 In a finite desarguesian projective space \(PG(d,q^2)\) of square order a subspace of the same dimension \(d\) and of order \(q\) is called a Baer subspace. Each Baer subspace consists of the fixed elements in \(PG(d,q^2)\) of a unique so-called Baer involution. Now the main results of the paper can be stated as follows. Theorem 1.1. Let \(B\) and \(B'\
Pralle, Harm, Ueberberg, Johannes
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Differentially Deep Subspace Representation for Unsupervised Change Detection of SAR Images
Remote Sensing, 2019 Temporal analysis of synthetic aperture radar (SAR) time series is a basic and significant issue in the remote sensing field. Change detection as well as other interpretation tasks of SAR images always involves non-linear/non-convex problems.
Bin Luo, Chudi Hu, Xin Su, Yajun Wang
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Convergence Analysis of the Fast Subspace Descent Methods for Convex Optimization Problems
, 2019 The full approximation storage (FAS) scheme is a widely used multigrid method for nonlinear problems. In this paper, a new framework to design and analyze FAS-like schemes for convex optimization problems is developed.
Chen, Long, Hu, Xiaozhe, Wise, Steven M.
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What Are We Doing to the Children?: An Essay on Juvenile (In)justice [PDF]
, 2003 The nonlinear conjugate gradients method is a very powerful program in the search for Bayes error optimal linear subspaces for classification problems.
Tigar, Michael E.
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A New Approach to Improve the Topological Stability in Non-Linear Dimensionality Reduction
IEEE Access, 2020 Dimensionality reduction in the machine learning field mitigates the undesired properties of high-dimensional spaces to facilitate classification, compression, and visualization of high-dimensional data.
Mohammed Elhenawy +3 more
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Applied Sciences, 2018 Data clustering is an important research topic in data mining and signal processing communications. In all the data clustering methods, the subspace spectral clustering methods based on self expression model, e.g., the Sparse Subspace Clustering (SSC ...
Ye Yang, Yongli Hu, Fei Wu
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Linear Subspaces of Hypercyclic Vectors
Real Analysis Exchange, 2018 In my talk I presented results from previous papers on the existence of hypercyclic algebras for convolution operators acting on the space of entire functions.
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Sequential Subspace Finding: A New Algorithm For Learning Low-Dimensional Linear Subspaces
EUSIPCO 2013, 2013 Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Sadeghi, Mostafa +3 more
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Blind Reduced-Rank MMSE Detector for DS-CDMA Systems
EURASIP Journal on Advances in Signal Processing, 2002 We first develop a reduced-rank minimum mean squared error (MMSE) detector for direct-sequence (DS) code division multiple access (CDMA) by forcing the linear MMSE detector to lie in a signal subspace of a reduced dimension.
Ge Hongya, Akansu Ali N, Cai Xiaodong
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S-Step BiCGStab Algorithms for Geoscience Dynamic Simulations
Oil & Gas Science and Technology, 2016 In basin and reservoir simulations, the most expensive and time consuming phase is solving systems of linear equations using Krylov subspace methods such as BiCGStab.
Anciaux-Sedrakian Ani +3 more
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