sparse dictionary learning造句

Sparse dictionary learning has also been applied in image de-noising.
Sparse dictionary learning has been applied in several contexts.
The idea of k q-flats algorithm is similar to sparse dictionary learning in nature.
Mathematically, sparse dictionary learning means solving x \ approx D r where " r " is sparse.
One popular approach is to find a dictionary when given a data set using the idea of Sparse Dictionary Learning.
It's difficult to find sparse dictionary learning in a sentence. 用sparse dictionary learning造句挺难的

Sparse dictionary learning is also doing the same thing, except for an additional constraints on the sparsity of the representation.
Sparse dictionary learning has been successfully applied to various image, video and audio processing tasks as well as to texture synthesis and unsupervised clustering
The emergence of sparse dictionary learning methods was stimulated by the fact that in signal processing one typically wants to represent the input data using as few components as possible.
"' Sparse dictionary learning "'is a representation learning method which aims at finding a orthogonal, and they may be an over-complete spanning set.
Mathematically, it is possible to show that k q-flats algorithm is of the form of sparse dictionary learning with an additional block structure on " R ".