We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
In the important domain of array shape calibration, the near-field case poses a challenging problem due to the array response complexity induced by the range effect. In this pape...
A hardware-oriented method for evaluating complex polynomials by solving iteratively a system of linear equations is proposed. Its implementation uses a digit-serial iterations on...
The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...