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Social media is rocking the world in recent year, which makes modeling social media contents important. However, the heterogeneity of social media data is the main constraint. This paper focuses on inferring emotions from large-scale social media data. Tweets on social media platform, always containing heterogeneous information from different combinations of modalities, are utilized to construct a...
In industrial processes, the process operating performance may deteriorate with time from optimal performance due to process disturbances, noise, and other uncertainties, which prompts the development of process operating optimality assessment. In this study, a novel online operating optimality assessment method based on optimality related variations (ORV) is proposed for nonlinear industrial processes...
Feature selection is a key step for activity classification applications. Feature selection selects the most relevant features and considers how to use each of the selected features in the most suitable format. This paper proposes an efficient feature selection method that organizes multiple subsets of features in a multilayer, rather than utilizing all selected features together as one large feature...
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