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Computer Vision – ECCV 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Language, Corpora, and Technology in Applied Linguistics
As culture and society has become more digitalized, especially when computer science and digital technologies have entered a new era in the twenty-first century, translation studies began to utilize a wide range of tools to enhance its reading of texts and contexts, without which translation both as a practice and as a theorization could barely persist. It has become more apparent that two extreme poles between macro and micro visions have formed the diversified terrains of translation studies. On the one hand, technologies like NLP, topic modeling, network analysis and data visualization make distant reading become possible, thus allowing us to have a paradigmatic view of how human’s idea...
Networks-on-Chip
Networks-on-Chip: From Implementations to Programming Paradigms provides a thorough and bottom-up exploration of the whole NoC design space in a coherent and uniform fashion, from low-level router, buffer and topology implementations, to routing and flow control schemes, to co-optimizations of NoC and high-level programming paradigms. This textbook is intended for an advanced course on computer architecture, suitable for graduate students or senior undergrads who want to specialize in the area of computer architecture and Networks-on-Chip. It is also intended for practitioners in the industry in the area of microprocessor design, especially the many-core processor design with a network-on-ch...
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