Results 101 to 110 of about 1,611 (136)
Efficient Working Memory Maintenance via High-Dimensional Rotational Dynamics
Ritter L, Chadwick A.
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Autoencoding-Assisted Quantum Cloning Machine. [PDF]
Beh QJ +4 more
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When noncanonical olfaction is optimal. [PDF]
Lienkaemper C, Younger MA, Ocker GK.
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Time-dependent Bivariational Principle: Theoretical Foundation for Real-Time Propagation Methods of Coupled-Cluster Type. [PDF]
Kvaal S +3 more
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Beyond alignment: synergistic integration is required for multimodal cell foundation models
Richter T +7 more
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A Canonical CS Representation of a Pair of Subspaces
SIAM Journal on Matrix Analysis and Applications, 2016Summary: Let \({\mathcal X}\) and \({\mathcal Y}\) be subspaces of \(\mathbb{R}^{n}\) of dimensions \(k\) and \(l\) with \(k\leq l\). Let \(X\) and \(Y\) be orthonormal bases for \({\mathcal X}\) and \({\mathcal Y}\). This paper describes canonical forms for \(X\) and \(Y\) under orthogonal transformations.
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A variational characterization of canonical angles between subspaces
Journal of Geometry, 2003The min-max characterization is given for canonical (or principal) angles between two subspaces of an \(n\)-dimensional unitary space using recursively constructed pairs of vectors from inner products.
Vladimir Rakocevic +2 more
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Cyclic Subspaces, Duality and the Jordan Canonical Form
Springer Undergraduate Mathematics Series, 2015In this chapter we use the duality theory to analyze the properties of an endomorphism f on a finite dimensional vector space \(\mathcal V\) in detail. We are particularly interested in the algebraic and geometric multiplicities of the eigenvalues of f and the characterization of the corresponding eigenspaces.
Volker Mehrmann +2 more
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Canonical relations of subspaces in multi-sensor data analysis
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014In multisensor data analysis, scene details can be extracted via subspace methods without any prior information on the scene. In these decomposition techniques, data is projected into a new space so that the information in the data is highlighted. In this study, Principal Component Analysis, Independent Component Analysis and Minumum Noise Fractions ...
Ozgur Murat Polat, Yakup S. Özkazanç
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