Chung-Yang Hsieh

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In data mining and pattern classification, feature extraction and representation methods are a very important step since the extracted features have a direct and significant impact on the classification accuracy. In literature, numbers of novel feature extraction and representation methods have been proposed. However, many of them only focus on specific(More)
In this paper, we present a novel approach for human action and gesture recognition using dual-complementary tensors. In particular, the proposed method constructs a compact and yet discriminative representation by normalizing the input video volume into dual tensors. One tensor is obtained from the raw video volume data and the other one is obtained from(More)
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