Iamge Denoising Via Sparse and Redundant Representation Over Learned

We address the problem of three-dimensional (3-D) imaging for multiple-input multiple-output (MIMO)

论文摘要:在无监督域适应中,一个关键的研究问题是跨域的联合分布对齐 。 但是, 直接 对齐的源和目标联合分布是不可行的, 因为目标条件分布的标签未知。结合边缘分布对齐(它是条件分布对齐的等价条件,而不

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

Robust Face Super-Resolution via Locality-Constrained Low-Rank Representation

脉冲图像不变性人脸表述,绽琨,,本文以生物启发的方法 进行人脸识别。脉冲发放皮层模型演化自对猫等哺乳期视觉皮层电化学特性的研究, 已证实脉冲发放皮层模型可有

Image denoising via 2D dictionary learning and adaptive hard thresholding

L1-MAGICisacollectionofMATLABroutinesforsolvingtheconvexoptimizationprogramscentraltocompressivesamp

This Letter presents a novel approach to enhance the fringe contrast (visibility) in a digital off-a

习得性无助的研究分析论文，和动机研究相对的一种研究

用于学习课程的参考用书，知识要点总结，简洁明了，适合配套学习。