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Titlebook: Cognitive Computing – ICCC 2019; Third International Ruifeng Xu,Jianzong Wang,Liang-Jie Zhang Conference proceedings 2019 Springer Nature

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The Development Trend of Intelligent Speech Interaction,interaction. As one of the most convenient and natural ways for communication, speech has become the most promising way of human-computer interaction in the future, which has more advantages than other interaction ways. As one of the most popular artificial intelligence (AI) technologies, intelligen
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Visual Cognitive Mechanism Guided Video Shot Segmentation,entation methods have low detection rate for the gradient shot and the abrupt shot, especially in a single scene. To deal with this problem, this paper proposes a video segmentation method based on visual cognition mechanism. This method proposes a block granularity color histogram to strengthen the
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A Best Detecting Synchrony Method in Audio STROOP EEG Based on Wavelet Coherence,the simultaneous oscillation of various neural networks. EEG is an increasingly method to detect brain function with high temporal resolution and low cost. How to analyze the synchronization phenomenon is the focus of cognitive neuroscience research based on EEG signals. Wavelet coherence is a class
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Conference proceedings 2019 all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts
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0302-9743 pers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts978-3-030-23406-5978-3-030-23407-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Javier Stillig,Carolin Brenner,André Colombes derived from real world. The results show that our model gives excellent performance and outperforms other popular methods significantly, including independent learning methods and joint models. This paper gives a new way for spoken dialogue system research.
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