Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition

  title={Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition},
  author={Xiao-Yuan Jing and Ruimin Hu and Fei Wu and Xi-Lin Chen and Qian Liu and Yong-Fang Yao},
Dictionary learning (DL) has now become an important feature learning technique that owns state-of-the-art recognition performance. Due to sparse characteristic of data in real-world applications, DL uses a set of learned dictionary bases to represent the linear decomposition of a data point. Fisher discrimination DL (FDDL) is a representative supervised DL method, which constructs a structured dictionary whose atoms correspond to the class labels. Recent years have witnessed a growing interest… CONTINUE READING