### Table 2. Segmentation results using local image regions. The Gaussian appearance model using the two local region methods is compared to the global region method.

"... In PAGE 10: ... 4.3 Results Table2 gives segmentation results using the Gaussian appearance model from section 2 for both local region approaches. The Partition method refers to the approach in section 4.... ..."

### Table 3: Speaker Segmentation Error for Tied Gaussian

1994

"... In PAGE 4: ...5 percent. Results with the distance dL using the tied mixture model with 32 components are shown in Table3 . The initial error rate using the maximum pairwise distance was 10.... ..."

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### TABLE I Assessment of staining qualities of samples of histological silver proteinates

### Table 1: Comparison Between Segmentation Techniques Segmentation Technique Information used in Segmentation Extends to N-D Method of Segmentation

"... In PAGE 6: ... Boykov and Jolly (2001a) use gray-scale histograms in order to model the intensities of the pixels in the image, however the Grab-Cut technique uses Gaussian mixture models in order to model the colour statistics of the image. Table1 shows a comparison between the various segmentation techniques with regard to the information they use to perform the segmentation, if the method can be extended from 2-D to N-D data, and the method that is employed in order to perform the segmentation. Segmentation techniques are used primarily for 2-D images, but some segmentation techniques can be extended to 3-D data (or volumes) and even N-D data.... ..."

### Table 4: The results(%) of the Gaussian mixture model classifier

1997

Cited by 20

### Table 4: The results(%) of the Gaussian mixture model classifier

1997

Cited by 20

### Table 1. Comparison between EM and VEM algo- rithms in color image segmentation.

"... In PAGE 4: ...igure 5. Convergence of the log-likelihood. We compare the proposed VEM algorithm with EM al- gorithm using the log-likelihood and the PSNR as compar- ison measures. The results displayed in Table1 , show that VEM outperforms EM, and that can be also observed from the segmented images in Figures 2 and 3. 7 Conclusions We propose a new variational algorithm for color image segmentation using Gaussian mixture models.... ..."

### Table 3. Modeling global, local and t

"... In PAGE 6: ...G01 select orders by earliest due date or slack rule or importance (user given priority) Proceedings of the 33rd Hawaii International Conference on System Sciences - 2000 can be modeled similarly by the five-tuple (R, P, O, HC, SC) [11], where R denotes the set of required resources, P the set of producible products, O the set of actual orders, and HC and SC stand for the sets of hard and soft constraints, respectively. Table3 shows this model applied to global, local and transportation scheduling with examples for the items. The actual data of the R, P and O sets are typically stored in a database, the constraints have to be handled by the problem solving component.... ..."

### Table 4. Mean values for the Gaussian mixture.

2005

"... In PAGE 18: ... This model is also called a Gaussian mixture. For the Gaussian mixtures of skin and non-skin classes, Jones and Rehg [11] provide the following values: mean values ( Table4 ), diagonal covariance matrix values (Table 5) and weights (Table 6). APPENDIX B: METHOD BASED ON COLOR CORRECTION Hsu et al.... In PAGE 23: ... Results for experiment 2. Table4 . Mean values for the Gaussian mixture.... ..."

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### Table 1: Gaussian mixture HMM results

"... In PAGE 2: ... Baseline Gaussian HMMs were trained by HTK n5b21n5d, us- ing twelve iterations of embedded Baum-Welch reestimation. Recognition results are given in Table1 . These are very sim- ilar to those reported in n5b20n5d.... In PAGE 2: ... The ML-trained baseline models were then used as initial estimates in the discriminative optimisation, where bigrams, transitions, means and variances were jointly optimised dur- ing thirty epochs of stochastic gradient search. The resulting models are denoted CMLn2fHMM in Table1 . For the single- mixture system, a fullbatch gradient optimisation, taken to complete convergence, was also performed n5b18n5d.... ..."