Active hashing with joint data example and tag selection
Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang · 2014
Similarity search is an important problem in many large scale applications such as image and text retrieval. Hashing method has become popular for similarity search due to its fast search speed and low storage cost. Recent research has shown that hashing quality can be dramatically improved by incorporating supervised information, e.g. semantic tags/labels, into hashing function learning. However, most existing supervised hashing methods can be regarded as passive methods, which assume that the labeled data are provided in advance. But in many real world applications, such supervised information may not be available.