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Person re-identification is defined as to find the same person who re-occurred in a multi-camera surveillance system. A classifier for person re-identification may suffer from the imbalance dataset problem since the number of the targeted images is much less than irrelevant images. In this paper, we proposed over-sampling and under-sampling method for the active learning method for person re-identification...
Relevance feedback is an iterative search technique to bridge the semantic gap between the high level user intention and low level data representation. This technique interactively determines a user's desired output or query concept by asking the user whether certain proposed 3D models are relevant or not. In the past, most research efforts in 3D model retrieval field have focused on designing algorithms...
Recognizing smiles is of much importance for detecting happy moods. Gabor features are conventionally widely applied to facial expression recognition, but the number of Gabor features is usually too large. We proposed to use pyramid histogram of oriented gradients (PHOG) as the features extracted for smile recognition in this paper. The comparisons between the PHOG and Gabor features using a publicly...
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