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Cognitive diversity in perceptive informatics and affective computing

机译:感知信息学和情感计算中的认知多样性

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The advent of sensor technologies and imaging modalities has greatly increased our ability to map the brain structure and understand its cognitive function. In order for the acquired Big Data (with large volume, wide variety, and high velocity) to be valuable, innovative data-centric algorithms and systems in machine learning, data mining and artificial intelligence have been developed, designed and implemented. Due to the complexity of the brain system and its cognitive processes, new data-driven paradigm is needed to recognize patterns in Big Data, to fuse information from different sources (systems and sensors), and to extract useful knowledge for actionable decisions.
机译:传感器技术和成像方式的出现大大提高了我们映射大脑结构的能力并理解其认知功能。 为了获得所获得的大数据(具有大量,各种各样,高速度)是有价值的,创新的数据中心算法和系统在机器学习中,设计,设计和实施了数据挖掘和人工智能。 由于大脑系统的复杂性及其认知过程,需要新的数据驱动范例来识别大数据中的模式,以融合来自不同来源的信息(系统和传感器),并提取可操作决策的有用知识。

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