IAM

Check out our CVPR'18 paper on weakly-supervised 3D shape completion — and let me know your opinion! @david_stutz
23thMARCH2015

READING

C. J. C. Burges. Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning, 2004.

Burges discusses several useful techniques from applied mathematics frequently used in machine learning (and related fields, e.g. computer vision). While some sections may be used to refresh existing knowledge, others offer new perspectives on familiar material. Covered material includes lagrange multipliers, Singular Value Decomposition (SVD) as well as plenty of useful matrix properties.

What is your opinion on the summarized work? Or do you know related work that is of interest? Let me know your thoughts in the comments below or get in touch with me: