Yeganeh Madadi
Department of Computer Engineering, Faculty of Technical and Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
[ 1 ] - Deep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning
Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...
نویسندگان همکار