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Pooling plays an important role in generating a discriminative video representation. In this paper, we propose a new semantic pooling approach for challenging event analysis tasks (e.g., event detection, recognition, and recounting) in long untrimmed Internet videos, especially when only a few shots/segments are relevant to the event of interest while many other shots are irrelevant or even misleading...
Disc brake squeal attracting much attention during the last few decades is a kind of noise caused by the unwanted self-excited instability that is induced by the friction forces. For the purpose of forecasting and suppressing this annoying sound, the features of this phenomenon should be extracted and investigated. In this study, an improved ensemble empirical mode decomposition method is developed...
One of the most crucial challenges for classifiers is generalization. In this paper, we present a novel and systematic multiresolution learning approach for neural network classifiers to improve their generalization performance on classification tasks with feature based input space. The proposed approach adopts agglomerative hierarchical clustering to generate coarser resolution training data from...
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