Results 261 to 270 of about 1,236 (297)

Matrix completion for resolving label ambiguity

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
In real applications, data is not always explicitly-labeled. For instance, label ambiguity exists when we associate two persons appearing in a news photo with two names provided in the caption. We propose a matrix completion-based method for predicting the actual labels from the ambiguously labeled instances, and a standard supervised classifier can ...
Ching-Hui Chen, Vishal M. Patel, Rama Chellappa   +2 more
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Matrix Resolving Functions in Dynamic Games of Approach

Cybernetics and Systems Analysis, 2014
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Chikrii, A. O., Chikrii, G. Ts.
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Microsphere-assisted super-resolved Mueller matrix microscopy

Optics Letters, 2020
Mueller matrix microscopy (MMM) is a powerful approach to probe microstructural and optical information of many important specimens (e.g., tissue and bacteria), which otherwise cannot be obtained directly from intensity or spectral images. Achieving high lateral resolution in MMM, similar to other microscopy approaches, remains a challenge.
Vahid, Abbasian, Ali-Reza, Moradi
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Resolving spatial modes of lasers via matrix completion

Optics Letters, 2013
We explain a technique that recovers the structure and the modal weights of spatial modes of lasers from a limited number of spatial coherence measurements. Our approach interpolates the unobserved spatial coherence measurements via the low-rank matrix completion algorithm based on nuclear norm minimization and then extracts the set of modes via ...
Yuejie, Chi, Betty Lise, Anderson
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Increasing resolvability for the matrix fault localization method

Automation and Remote Control, 2016
We consider the multi-fault localization problem in the observation points matrix of a discrete device. The previously proposed matrix fault localization method is extended to multiple faults. The proposed approach leads to reducing the cost of testing hardware.
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Axially resolved complete Mueller matrix confocal microscopy

Applied Optics, 2006
We introduce a technique that is capable of obtaining complete polarization-sensitive three-dimensional images that could reveal unknown anatomical conditions of living tissue that possess polarization-dependent signatures. Previously, the 16 Mueller coefficients were measured independently only by use of two-dimensional imaging techniques.
David, Lara, Chris, Dainty
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The continuous-time resolvent matrix for non-markovian chains

Physica A: Statistical Mechanics and its Applications, 1988
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Cáceres, Manuel O., Budde, Carlos E.
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Resolvent Matrix and Stability Radius

1991
Consider the homogeneous equation of a dynamic system \({\rm{\dot x(}}t) = {\rm{Ax(}}t){\rm{ }} \in {{\rm{R}}^n}\) where A represents the nominal system which is assumed stable. Let the system be linearly perturbed by an additive error matrix ΔA $${\rm{\dot x(}}t) = ({\rm{A + }}\Delta {\rm{A)x(}}t)$$ (23.1) where ΔA is spectral norm bounded ...
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Resolving natural product epimer spectra by matrix-assisted DOSY

Organic & Biomolecular Chemistry, 2011
High resolution diffusion-ordered NMR spectroscopy allows the separation of signals from different species based on their diffusion coefficients. In general this requires that the NMR spectra of the components do not have overlapping signals, and that the diffusion coefficients are significantly different. Modifying the solvent matrix in which a sample
Adams, Ralph W.; id_orcid 0000-0001-8009-5334, Aguilar Malavia, Juan, Cassani Hernandez, Julia, Morris, Gareth A.; id_orcid 0000-0002-4859-6259, Nilsson, Mathias; id_orcid 0000-0003-3301-7899   +4 more
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Matrix Continued Fraction for the Resolvent Function of the Band Operator

Acta Applicandae Mathematica, 2000
The author studies the matrix continued fraction associated with the resolvent of a special band operator. The orthogonal vector polynomials (of dimension \(q\)) satisfy a `lacunary' recurrence relation of the form \[ zH_n=H_{n+q}+a_{n-p}H_{n-p},\;a_{n-p}\not= 0, \] in matrix formulation \[ z\begin{pmatrix} H_0 \cr \ddots \cr H_n \cr \ddots\end{pmatrix}
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