Results 221 to 230 of about 914,999 (265)
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Psychometrika, 1984
A correlational measure for an n by p matrix X and an n by q matrix Y assesses their relation without specifying either as a fixed target. This paper discusses a number of useful measures of correlation, with emphasis on measures which are invariant with respect to rotations or changes in singular values of either matrix.
Ramsay, J.O. +2 more
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A correlational measure for an n by p matrix X and an n by q matrix Y assesses their relation without specifying either as a fixed target. This paper discusses a number of useful measures of correlation, with emphasis on measures which are invariant with respect to rotations or changes in singular values of either matrix.
Ramsay, J.O. +2 more
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Optics Letters, 2015
Both the Jones and Mueller matrices encounter difficulties when physically modeling mixed materials or rough surfaces due to the complexity of light-matter interactions. To address these issues, we derived a matrix called the paths correlation matrix (PCM), which is a probabilistic mixture of Jones matrices of every light propagation path.
Weixian, Qian +3 more
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Both the Jones and Mueller matrices encounter difficulties when physically modeling mixed materials or rough surfaces due to the complexity of light-matter interactions. To address these issues, we derived a matrix called the paths correlation matrix (PCM), which is a probabilistic mixture of Jones matrices of every light propagation path.
Weixian, Qian +3 more
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Estimation of the noise correlation matrix
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011To harvest the potential of multi-channel noise reduction methods, it is crucial to have an accurate estimate of the noise correlation matrix. Existing algorithms either assume speech absence and exploit a voice activity detector (VAD), or make use of additional assumptions like a diffuse noise field.
Richard C. Hendriks, Timo Gerkmann
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IEEE Transactions on Computers, 1972
A new model for associative memory, based on a correlation matrix, is suggested. In this model information is accumulated on memory elements as products of component data. Denoting a key vector by q(p), and the data associated with it by another vector x(p), the pairs (q(p), x(p)) are memorized in the form of a matrix {see the Equation in PDF File ...
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A new model for associative memory, based on a correlation matrix, is suggested. In this model information is accumulated on memory elements as products of component data. Denoting a key vector by q(p), and the data associated with it by another vector x(p), the pairs (q(p), x(p)) are memorized in the form of a matrix {see the Equation in PDF File ...
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Standard Errors for Matrix Correlations
Multivariate Behavioral Research, 1999Matrix correlation is the index for the relationship between two sets of variables. Among the matrix correlations which have been proposed, the asymptotic standard errors of the following are derived: redundancy coefficient, Robert and Escoulfier's coefficient, Yanai's coefficient, Rozeboom's coefficient, and Coxhead's coefficient.
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Iterative matrix correlation for bisection clustering
2017 IEEE International Conference on Big Data (Big Data), 2017We introduce and theoretically study the convergence behavior of iterative matrix correlation computation and show how it can be leveraged to derive a novel bisection clustering algorithm with unique characteristics. A correlation matrix is a symmetric n × n matrix for n vectors, where the (i, j)-th entry is the Pearson correlation coefficient between ...
Byron J. Gao, Robert Tung, Yong Yang
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The Improved Correlation Matrix Memory (CMML)
2007 International Joint Conference on Neural Networks, 2007Twenty years ago a paper detailing a novel neural network, called ADAM and that could be directly implemented in hardware RAM, was published in the first conference of this series. Subsequent research based directly/indirectly on this type of RAM-based neural network founded a research group that has produced over 200 research documents.
Nimish Shah, Simon O'Keefe, Jim Austin
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Complete the Correlation Matrix
2007In this article we discuss a method to complete the correlation matrix in a multi-dimensional stochastic volatility model. We concentrate on the construction of a positive definite correlation matrix. Furthermore we present a numerical integration scheme for this system of stochastic differential equations which improves the approximation quality of ...
C. Kahl, M. Günther
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Toeplitzization of correlation matrix in multipath environment
ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005This paper deals with the technique to improve the performance of an adaptive array under the multipath environment. The adaptive array which works under the guiding principle of output minimization often assumes that the interference is not coherent with the desired signal. In this case, the correlation matrix of the input is Toeplitz.
Kazuaki Takao +2 more
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