2017
Learning rotation invariance in deep hierarchies using circular symmetric filters
ICASSP 2017accepted
Deep hierarchical models for feature learning have emerged as an effective technique for object representation and classification in recent years. Though the features learnt using deep models have shown lot of promise towards achieving invariance to data transformations, this primarily comes at the…