dimensional

High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding. (arXiv:1901.08237v1 [cs.LG])

[ad_1] We study the problem of sparsity constrained $M$-estimation with arbitrary corruptions to both {em explanatory and response} variables in the high-dimensional regime, where the number of variables $d$ is...

Read more
Identification of significant coronary artery disease in patients with non-ST segment elevation acute coronary syndrome by myocardial strain analyses using three dimensional speckle tracking echocardiography.

[ad_1] Related Articles Identification of significant coronary artery disease in patients with non-ST segment elevation acute coronary syndrome by myocardial strain analyses using three dimensional speckle tracking echocardiography. Echocardiography. 2018...

Read more
High dimensional change point estimation via sparse projection

Wang, T; Samworth, RJ; (2018) High dimensional change point estimation via sparse projection. Journal of the Royal Statistical Society. Series B: Statistical Methodology , 80 (1) pp. 57-83. 10.1111/rssb.12243 ....

Read more
Is Euclidean distance meaningful for high dimensional data?

  The short answer is no. At high dimensions, Euclidean distance loses pretty much all meaning. However, it’s not something […] The post Is Euclidean distance meaningful for high dimensional...

Read more