例句與造句

1. Basis pursuit denoising was introduced by Chen and Donoho in 1994, in the field of signal processing.
2. Exact solutions to basis pursuit denoising are often the best computationally tractable approximation of an underdetermined system of equations.
3. Basis pursuit denoising has potential applications in statistics ( c . f . the regularization ), image compression and compressed sensing.
4. Chen and Donoho have developed a procedure called basis pursuit for fitting a sparse set of sinusoids or other functions from an over-complete set.
5. In particular, it is used as a measure of the ability of suboptimal algorithms such as matching pursuit and basis pursuit to correctly identify the true representation of a sparse signal.
6. It's difficult to find basis pursuit in a sentence. 用basis pursuit造句挺難的
7. There are several modern software packages that solve Basis pursuit and variants and use the ADMM; such packages include YALL1 ( 2009 ), SpaRSA ( 2009 ) and SALSA ( 2009 ).
8. When measurements may contain a finite amount of noise, basis pursuit denoising is preferred over linear programming, since it preserves sparsity in the face of noise and can be solved faster than an exact linear program.
9. In 1994, Scott Chen and David Donoho of Stanford University have developed the " basis pursuit " method using minimization of the L1 norm of coefficients to cast the problem as a linear programming problem, for which efficient solutions are available.
10. Either types of basis pursuit denoising solve a regularization problem with a trade-off between having a small residual ( making y close to Ax in terms of the squared error ) and making x simple in the \ ell _ 1-norm sense.
11. Several popular methods for solving basis pursuit denoising include the in-crowd algorithm ( a fast solver for large, sparse problems ), homotopy continuation, fixed-point continuation ( a special case of the forward backward algorithm ) and spectral projected gradient for L1 minimization ( which actually solves LASSO, a related problem ).