Deep Learning’s Impact on Image Processing, Mathematics, and Humanity 深度学习对图像处理，数学和人类的影响 By Michael Elad May 01, 2017 [Michael Elad is a professor in the Computer Science Department at the Technion – Israel Institute of Technology. He is editor-in-chief of the SIAM Journal on Imaging Sciences.] I am really confused. I keep changing my opini... Read more 01 May 2017 - 34 minute read
本文是随机矩阵理论系列的第九篇文章，讲述了随机矩阵在机器学习中的运用。 Random matrices in data analysis Applications of random matrices in spectral computations and machine learning Random matrices for machine learning on brain graphs Random matrices in high-dimensional data analysis Random matrix theory in statistics: A review Random matrices meet machine learning: a large... Read more 25 Apr 2017 - less than 1 minute read
No one really knows how the most advanced algorithms do what they do. That could be a problem. 没人真正知道最高级的算法是如何做它们要做的事的。那可能是个问题。 by Will Knight April 11, 2017 [I am the senior editor for AI at MIT Technology Review. I mainly cover machine intelligence, robots, and automation, but I’m interested in most aspects of computing. I grew up in south... Read more 11 Apr 2017 - 66 minute read
本文是随机矩阵理论系列的第八篇文章，讲述了随机矩阵在图论中的运用。 图论 随机图论 几类常见随机图 Erdos-Renyi 随机图 复杂网络 eigenvector community detection 软件 Read more 04 Apr 2017 - less than 1 minute read
本文是随机矩阵理论系列的第七篇文章，讲述了随机矩阵在无线通信中的运用。 采样协方差矩阵 Marcenko-Pastur law ring law cognitive wireless network Romain Couillet, Debbah, J. Silverstein, Z. Bai smart grid Robert C. Qiu Read more 25 Mar 2017 - less than 1 minute read