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Exact(7)

Here, for a vector and a matrix, and mean and, respectively.

Using ML estimation, the fusion center can estimate the censored observations based on the received observations and the knowledge of the sensors' observation statistics (covariance matrix,, and mean of the observations, ).

In order to simplify the notation and the description of the methods, we will in the following use covariance matrix instead of sample covariance matrix and mean instead of sample mean.

The prior covariance matrix and mean are initialized as and, respectively, and and, for the importance density.

Assuming the attacker knows the details of feature extraction (PCA matrix and mean vector), we reconstruct face images with the approximated feature vectors using (16).

Final models were selected using fit as a criterion in a series of iterations [29] [31] in which the correlation matrix and mean distribution were systematically varied.

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Similar(53)

First, the standard method of maximum likelihood (ML) estimation [ 16] incorporating the covariance matrix and means from both groups was run.

The MGD is considered as shown in Eq. (24) where the full covariance matrix Σ and mean vector μ are estimated using the maximum likelihood method [16].

For this dataset we simulated four distinct clusters on the Euclidean plane by sampling from a rotationally symmetric normal distribution with covariance matrix I and means corresponding to the four cluster centers shown in Figure 1A.

These data are then transformed, using a transformation proposed by Bollen and Stine (1993), so that the variance covariance matrix and means are exactly as specified under the model H0.

Note that the covariance matrices and mean values used in this paper are sample covariance matrices and sample means, estimated from the data.

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