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Machine learning for audio, image and video analysis: theory and applications (2nd ed.)

机译:用于音频,图像和视频分析的机器学习:理论与应用(第二版)

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摘要

Machine learning and big data are all the craze these days, seen as key technologies to handle the deluge of data expected to flow from the upcoming Internet of Things (IoT). Multimedia information, transmitted by video encoders or still cameras, will form a significant share of this deluge, and coming up with adequate tools to handle it is of paramount importance. Camastra and Vinciarelli's extended edition of their 2008 book intends to fully cover this rapidly evolving field.
机译:如今,机器学习和大数据已成为一种热潮,被视为处理有望从即将到来的物联网(IoT)流出的大量数据的关键技术。由视频编码器或静态摄像机传输的多媒体信息将在这种洪水中占很大一部分,因此,提供适当的工具来处理它是至关重要的。卡马斯特拉(Camastra)和文西亚雷利(Vinciarelli)在其2008年著作的扩展版中试图全面涵盖这一迅速发展的领域。

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