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State-of-the-art near-duplicate image search systems mostly build on the bag-of-local features (BOF) representation. While favorable for simplicity and scalability, these systems have three shortcomings: 1) high time complexity of the local feature detection; 2) discriminability reduction of local descriptors due to BOF quantization; and 3) neglect of the geometric relationships among local features...
Multi-modality, the unique and important property of video data, is typically ignored in existing video adaptation processes. To solve this problem, we propose a novel approach, named multi-modality transfer based on multi- graph optimization (MMT-MGO) in this paper, which leverages multi-modality knowledge generalized by auxiliary classifiers in the source domain to assist multi-graph optimization...
Most current research on human action recognition in videos uses the bag-of-words (BoW) representations based on vector quantization on local spatial temporal features, due to the simplicity and good performance of such representations. In contrast to the BoW schemes, this paper explores a localized, continuous and probabilistic video representation. Specifically, the proposed representation encodes...
The recently developed on-surface discretized boundary equation method for scattering by conducting cylinders was based on scattered field expressions in terms of true electric surface currents. In this paper, an alternative form of the method is derived by making use of virtual magnetic surface currents. Numerical results are presented to demonstrate its validity and applicability. A comparison between...
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