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Table 1: Comparisons between the geometric features based TAN [3] and our LBP-based template matching.
2005
"... In PAGE 7: ...2% was obtained by them using Tree-Augmented-Naive Bayes (TAN) classifiers. Comparison in Table1 illustrates that our simple template matching using LBP outperforms geometric features based TAN classifier. The experiments demonstrated that the low-cost LBP features are discriminative for facial expression recogniton.... ..."
Cited by 3
Table 5: The average cost of LBPs for systems with IDD and = 0:8, i = 0:1. In parentheses under LBP-Sum and LBP-1 [respectively, LBP-G, LBP-S] are values of r [resp., ( ; r), ( k; r)]. Values for k 3 are based upon simulation estimates.
2006
"... In PAGE 38: ... However, LBP-S is simpler because it requires storage of just two parameters. In Table5 , we compare the performance of di erent versions of the LBP heuristic when the number of stages is varied. A common feature of the versions we consider is simplicity of imple- mentation.... ..."
Table 7.4. Average results of the evaluation of the reduction algorithm on the LBP features. The classi er was trained using the one-against-one multi-class algorithm, various kernel types and C = 100.
2005
Table 7.6. Average results of the evaluation of the reduction algorithm on the LBP features. The classi er was trained using the one-against-all multi-class algorithm, various kernel types and C = 100.
2005
TABLE II THE RECOGNITION RATES OF THE LBP AND COMPARISON ALGORITHMS.
2006
Cited by 10
Table 1: Feature distributions across categories
in Category Specific Semantic Deficits In Focal And Widespread Brain Damage: A Computational Account
1998
"... In PAGE 7: ... Each word was represented by both perceptual and functional properties. Table1 shows the distribution of features by categories. Overall the model had a 1.... ..."
Cited by 4
Table 3. Distribution of entities and features in data
"... In PAGE 5: ... Different types of sentences Only 4% of the sentences had multiple comparisons in one sentence. The distribution of entities and features in the data set is given in Table3 . Nouns include different types.... ..."
Table 1 Feature Distributions Across Categories
in Category Specific Semantic Deficits in Focal and Widespread Brain Damage: A Computational Account
1998
"... In PAGE 6: ...e.g., found-in-Africa), were not included. Each word was represented by both perceptual and func- tional properties. Table1 shows the distribution of features by categories. Overall the model had a 1.... ..."
Cited by 4
Table 5: Distribution of IM Feature Usage by Students
2007
"... In PAGE 6: ... These two features were selected, as it was found that 85% of the respondents were MSN users, and these features were useful tools for coordination and scheduling as well as collaboration. Table5 shows the relative percentage of users that indicated, they were users of each of the features selected. The main features used by the majority of respondents were the file transfer and emoticons , both with 87.... ..."
Table 6. Slot distribution with different feature strings Feature Strings
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