### Table 1: Coefficients fhk;lg of the Markov random field wood model [14].

1997

"... In PAGE 21: ... The 64x64 pixels were divided into groups g1 and g2: g1 contains the pixels in the upper left and lower right of the image, and g2 contains the pixels in the diagonal band running through the center of the image. The prior model for g1 is the wood model of Table1 ; the prior model for g2 uses the same coefficients in Table 1, but with the table rotated by 90 degrees. The cross correlation between groups g1 and g2 is zero.... ..."

Cited by 34

### Table 1: Parallel implementation. Where each value represents the step number at which the Markov Random Field is updated.

1994

Cited by 3

### Table 1 Confusion matrix for the classification result in Figure 4 (c) obtained with the Markov random fields method.

### Table 3 Confusion matrix for the classification result in Figure 5 (c) obtained with the Markov random fields method.

### Table 2: Gibbs Sampler timings for a binary (G = 2) image (execution time in seconds per iteration on a CM-5 with vector units) 3.2.1 Iterative Gaussian Markov Random Field Sampler The Iterative Gaussian Markov Random Field Sampler is similar to the Gibbs Sampler, but instead of the binomial distribution, as shown in step 3.2 of Algorithm 1, we use the continuous Gaussian Distribution as the probability function. For a neighborhood model N, the conditional probability function for a GMRF is:

in Scalable Data Parallel Algorithms for Texture Synthesis and Compression using Gibbs Random Fields

1995

"... In PAGE 14: ...omplexity, and steps 2.3 and 2.4 in O(G np ) computational time, yielding a computation complexity of Tcomp(n; p) = O( n (G+jNsj) p ) and communication complexity of 8 gt; lt; gt; : Tcomm(n; p) = O(jNsj qnp ), on the CM-2; Tcomm(n; p) = O(jNsj( (p) + qnp )), on the CM-5, per iteration for a problem size of n = I J. Table 1 shows the timings of a binary Gibbs sampler for model orders 1, 2, and 4, on the CM-2, and Table2 shows the corresponding timings for the CM-5. Table 3 presents the timings on the CM-2 for a Gibbs sampler with xed model order 4, but varies the number of gray levels, G.... ..."

Cited by 7

### Table 8.8. Estimated Costs Involved in the Storage of Germplasm in the Active Collection (Field Genebank)

### Table 1: Summary of the marginal prior distributions of

"... In PAGE 3: ... Example Again consider the example introduced in Section 1. Table1 summarizes the marginal prior distributions based on an objective Bayesian analysis (using WinBUGS) of the original thermostat data using only a randomly selected subset of 3 lifetimes in each of the 12 runs. In this case, 5 out of the 36 lifetimes were found to be censored.... ..."

### Table 3 ML estimates of the marginal distribution of Nl (mixture model)

in Auctions with Discrete Increments: a Structural Econometric Approach Based on Dominated Strategies