Sequential Pattern Learning via Kernel Alignment

As a branch of data analysis, pattern alignment has received much attentions in recent years. More specifically, it learns to find intrinsic bridge between different domains and make data handling be transferrable for efficient recognition. In this work, an unsupervised feature learning method is pr... View More