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We develop a unified framework for complex event retrieval, recognition and recounting. The framework is based on a compact video representation that exploits the temporal correlations in image features. Our feature alignment procedure identifies and removes the feature redundancies across frames and outputs an intermediate tensor representation we call video imprint. The video imprint is then fed...
Based on the study of biological olfactory system, a chaotic neural network model called K set model has been setup. This chaotic neural network has potential on pattern recognition while presenting novel chaotic concept for signal processing. This paper studies the characteristics of the K set models and applies it to face recognition. Experimental results show that the chaotic model based on biological...
Based on the research of biological olfactory system, a novel chaotic neural network model - K set model has been established. This chaotic neural network can not only simulate the real brain activity of olfactory system, but also present novel chaotic concept for signal processing and pattern recognition. This paper investigates the characteristics of the K set models. Experimental result shows that...
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