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Image description is not sufficient in traditional facial expression recognition (FER) methods, therefore this paper proposes a FER method based on multi-scale vector triangle. It combines vector triangle pattern with image pyramid to extract facial expression features. Firstly, construct a facial image pyramid to produce images in different scales. Secondly, divide each image into blocks, and extract...
The every item is set a weight because there is different importance between items. Negative association rules become a focus in the field of data mining. Negative association rules are useful in market-basket analysis to identify products that conflict with each other or products that complement each other. The negative association rules often consist in the infrequent items. The negative rules mining...
Association rule mining is an important model in data mining. Many mining algorithms discover all item associations (or rules) in the data that satisfy the user-specified minimum support and minimum confidence constraints. The weights are associated with the items to solve the question of different importance of the items. But there is another case that the frequency of every item is different from...
The weighted association rules (WARs) mining are made because importance of the items is different. Negative association rules (NARs) play important roles in decision-making. But the misleading rules occur and some rules are uninteresting when discovering positive and negative weighted association rules (PNWARs) simultaneously. So another parameter is added to eliminate the uninteresting rules. A...
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