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Sandeli Priyanwada Kasthuri Arachchi, Timothy K. Shih and Noorkholis Luthfil Hakim
Video classification is an essential process for analyzing the pervasive semantic information of video content in computer vision. Traditional hand-crafted features are insufficient when classifying complex video information due to the similarity of visu...
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Zhenyang Li, Guangluan Xu, Xiao Liang, Feng Li, Lei Wang and Daobing Zhang
In recent years, entity-based ranking models have led to exciting breakthroughs in the research of information retrieval. Compared with traditional retrieval models, entity-based representation enables a better understanding of queries and documents. How...
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Behnam Sarbakhshian
The subject of color, including single colors or compounds like Haft Rang (seven colors), which conveys the psychological effects and mystical interpretation of color, has a palpable presence in the realm of arts, especially in architecture. On the other...
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Xin Cui, Meng Qi, Yi Niu and Bingxin Li
Neural style transfer, which has attracted great attention in both academic research and industrial engineering and demonstrated very exciting and remarkable results, is the technique of migrating the semantic content of one image to different artistic s...
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Shengyu Liu, Buzhou Tang, Qingcai Chen and Xiaolong Wang
Semantic features are very important for machine learning-based drug name recognition (DNR) systems. The semantic features used in most DNR systems are based on drug dictionaries manually constructed by experts. Building large-scale drug dictionaries is ...
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