L1-Norm Higher-Order Orthogonal Iterations For Robust Tensor Analysis

This video program is a part of the Premium package:

L1-Norm Higher-Order Orthogonal Iterations For Robust Tensor Analysis


  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

L1-Norm Higher-Order Orthogonal Iterations For Robust Tensor Analysis

0 views
  • Share
Create Account or Sign In to post comments
Standard Tucker tensor decomposition seeks to maximize the L2-norm of the compressed tensor; thus, it is very responsive to outlying/high-magnitude entries among the processed data. To counteract the impact of outliers in tensor data analysis, we propose
Standard Tucker tensor decomposition seeks to maximize the L2-norm of the compressed tensor; thus, it is very responsive to outlying/high-magnitude entries among the processed data. To counteract the impact of outliers in tensor data analysis, we propose