Hyperspectral Image Classification via Shape Adaptive Joint Sparse Representatio

介绍了一种用局部竞争以及阈值的思想对图像进行稀疏编码，比传统的BP，MP更接近视觉特性

Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm

Semi-supervised dictionary learning via structural sparse preserving

Fluorescence molecular tomography (FMT) is a fast-developing optical imaging modality that has great

数字图像相关方法方法的创始人之一Sutton编写的关于该方法的形函数选择，图像运动，变形与位移测量

Adaptive Co-Training SVM for Sentiment Classification on Tweets

The independence priori is very often used in the conventional blind source separation (BSS). Natura

A Bayesian Approach to Sparse Model Selection in Statistical Shape Models∗.pdf

An energy functional with bidirectional flow is presented to sharpen image by reducing its edge widt

结合有监督的稀疏编码和判别正则项的无监督域适应算法，朱琳，张翔，域适应是通过减小不同域分布之间的差异以期加强分类器的泛化性能。本文专注于无监督域适应问题,其目标域无标签。大部分已有的算��