sparse coding

常见例句

Image sparse representation data got by sparse decomposition method are compressed by quantization and coding.
在图像稀疏分解的基础上，对分解出的数据进行压缩。
We expand it into two-layer structure based on sparse coding theory, and use Gaus-sian pyramid to solve scale problems.
我们修改基于特征的增量编码模型，根据稀疏编码原理，将其扩展成层次结构，并利用高斯金字塔解决尺度问题。
Normal Inverse Gaussian(NIG) density model; robust Principal Component Analysis(PCA); non-negative sparse coding; non-negative matrix factorization; feature extraction; image denoising;
正态逆高斯（NIG）密度模型；稳健主成分分析；非负稀疏编码；非负矩阵分解；特征提取；图像去噪；