Learning In Depth
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Learning in Depth
Real education, Egan Explains, consists of both general knowledge and detailed understanding, and in Learning in Depth he outlines an ambitious, yet practical plan to incorporate deep knowledge into basic education. Under Egan's program, students will follow the usual curriculum, but with one crucial addition: beginning with their first days of school and continuing until graduation, they will each also study one topic-such as apples, birds, sacred buildings, mollusks, circuses, or stars-in depth. Over the years, with the help and guidance of their supervising teacher, students will expand their understanding of their one topic and build portfolios of knowledge that grow and change along with them. By the time they graduate each student will know as much about his or her topic as almost anyone on earth-and in the process will have learned important, even life-changing lessons about the meaning of expertise, the value of dedication, and the delight of knowing something in depth. --
Computer Vision – ECCV 2022
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers 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; object recognition; motion estimation.
Networking and Parallel/Distributed Computing Systems
The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form. This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.