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For action recognition, traditional multitask learning can share low-level features among actions effectively, but it neglects high-level semantic relationships between latent visual attributes and actions. Some action classes might be related, where latent visual attributes across categories are shared among them. In this paper, we improve multitask learning model using attribute-actions relationship...
Electroencephalogram (EEG) is a noninvasive measurement of electrical activities produced by the firing of neuros within the brain. In a specially designed experiment, usually in which a large number of identical stimuli are presented repeatedly Event-related potential (ERP) can be extracted by averaging EEG epochs together. Since ERP is the measured brain response that is the direct result of a specific...
The past decade has seen a rapid development in content based image retrieval (CBIR). CBIR is the retrieval of images based on their low level features such as color, texture, shape etc. To improve the retrieval accuracy, the research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the `semantic gap' between the visual features and the richness...
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