dimensional

A novel method optimizing the normalization of cardiac parameters in small animal models: the importance of dimensional indexing.

[ad_1] Related Articles A novel method optimizing the normalization of cardiac parameters in small animal models: the importance of dimensional indexing. Am J Physiol Heart Circ Physiol. 2019 Apr 12;:...

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Scalable Neural Network Decoders for Higher Dimensional Quantum Codes

[ad_1] Breuckmann, NP; Ni, X; Scalable Neural Network Decoders for Higher Dimensional Quantum Codes. Quantum , 2 , Article page 68. 10.22331/q-2018-05-24-68 . Green open access Source link [ad_2]

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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...

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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...

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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 ....

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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...

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