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A multi-target tracking algorithm based on Gaussian mixture model 被引量:4
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作者 SUN Lili CAO Yunhe +1 位作者 WU Wenhua LIU Yutao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第3期482-487,共6页
Since the joint probabilistic data association(JPDA)algorithm results in calculation explosion with the increasing number of targets,a multi-target tracking algorithm based on Gaussian mixture model(GMM)clustering is ... Since the joint probabilistic data association(JPDA)algorithm results in calculation explosion with the increasing number of targets,a multi-target tracking algorithm based on Gaussian mixture model(GMM)clustering is proposed.The algorithm is used to cluster the measurements,and the association matrix between measurements and tracks is constructed by the posterior probability.Compared with the traditional data association algorithm,this algorithm has better tracking performance and less computational complexity.Simulation results demonstrate the effectiveness of the proposed algorithm. 展开更多
关键词 multiple-target tracking Gaussian mixture model(GMM) data association expectation maximization(EM)algorithm
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Learning from berberine: Treating chronic diseases through multiple targets 被引量:38
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作者 YAO Jing KONG WeiJia JIANG JianDong 《Science China(Life Sciences)》 SCIE CAS CSCD 2015年第9期854-859,共6页
Although advances have been made, chemotherapy for chronic, multifactorial diseases such as cancers, Alzheimer's disease, cardiovascular diseases and diabetes is far from satisfactory. Agents with different mechan... Although advances have been made, chemotherapy for chronic, multifactorial diseases such as cancers, Alzheimer's disease, cardiovascular diseases and diabetes is far from satisfactory. Agents with different mechanisms of action are required. The botanic compound berberine(BBR) has been used as an over-the-counter antibacterial for diarrhea in China for many decades. Recent clinical studies have shown that BBR may be therapeutic in various types of chronic diseases. This review addresses BBR's molecular mechanisms of action and clinical efficacy and safety in patients with type 2 diabetes, hyperlipidemia, heart diseases, cancers and inflammation. One of the advantages of BBR is its multiple-target effects in each of these diseases. The therapeutic efficacy of BBR may reflect a synergistic regulation of these targets, resulting in a comprehensive effect against these various chronic disorders. The safety of BBR may be due to its harmonious distribution into those targets. Although the single-target concept is still the principle for drug discovery and research, this review emphasizes the concept of a multiple target strategy, which may be an important approach toward the successful treatment of multifactorial chronic diseases. 展开更多
关键词 chronic multifactorial diseases drug treatment BERBERINE multiple-target
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