2 citations · 4 across the 2 of their papers we have counts for
5 papers
Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao Kang, Xingbo Liu, Xiushan Nie +2
Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep learning-based methods try to confront this challeng…
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
Xiao Kang, Xingbo Liu, Xiushan Nie +1
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive rese…
Reinforcing Short-Length Hashing
Xingbo Liu, Xiushan Nie, Qi Dai +2
Due to the compelling efficiency in retrieval and storage, similarity-preserving hashing has been widely applied to approximate nearest neighbor search in large-scale image retriev…
Mutual Linear Regression-based Discrete Hashing
Xingbo Liu, Xiushan Nie, Yilong Yin
Label information is widely used in hashing methods because of its effectiveness of improving the precision. The existing hashing methods always use two different projections to re…
Fusion Hashing: A General Framework for Self-improvement of Hashing
Xingbo Liu, Xiushan Nie, Yilong Yin
Hashing has been widely used for efficient similarity search based on its query and storage efficiency. To obtain better precision, most studies focus on designing different object…