目标管理由管理学大师彼得·德鲁克[2]在他的著作《管理实践》(The Practice of Management)一书中提出。SMART原则(Specific具体的,Measurable可衡量的,Attainable可实现的,Relevant相关的,Time-based有时限的),用于指导科学、合...目标管理由管理学大师彼得·德鲁克[2]在他的著作《管理实践》(The Practice of Management)一书中提出。SMART原则(Specific具体的,Measurable可衡量的,Attainable可实现的,Relevant相关的,Time-based有时限的),用于指导科学、合理的制定目标计划。德鲁克认为,并不是有了工作才有目标,而是相反,有了目标才能确定每个人的工作。专科规范化培训是每一个轮转护士在科室轮转的必经过程,是以理论知识和技能操作为导向的专业化护理培训。轮转护士需要在各个科室规范化培训中,不断提高自己的专科理论知识与技能操作水平[1]。轮转护士专科规范化培训的质量和效果,将直接影响其专科适应情况,对医院护理水平和护理人力资源储备有较大的影响。展开更多
A typical Markov network for modeling the interaction among targets can handle the error merge problem,but it suffers from the labeling problem due to the blind competition among collaborative trackers. In this paper,...A typical Markov network for modeling the interaction among targets can handle the error merge problem,but it suffers from the labeling problem due to the blind competition among collaborative trackers. In this paper,we propose a motion constraint Markov network model for multi-target tracking. By augmenting the typical Markov network with an ad hoc Markov chain which carries motion constraint prior,this proposed model can overcome the blind competition and direct the label to the corresponding target even in the case of severe occlusion. In addition,the motion constraint prior is formu-lated as a local potential function and can be easily incorporated in the joint distribution representation of the novel model. Experimental results demonstrate that our model is superior to other methods in solving the error merge and labeling problems simultaneously and efficiently.展开更多
文摘目标管理由管理学大师彼得·德鲁克[2]在他的著作《管理实践》(The Practice of Management)一书中提出。SMART原则(Specific具体的,Measurable可衡量的,Attainable可实现的,Relevant相关的,Time-based有时限的),用于指导科学、合理的制定目标计划。德鲁克认为,并不是有了工作才有目标,而是相反,有了目标才能确定每个人的工作。专科规范化培训是每一个轮转护士在科室轮转的必经过程,是以理论知识和技能操作为导向的专业化护理培训。轮转护士需要在各个科室规范化培训中,不断提高自己的专科理论知识与技能操作水平[1]。轮转护士专科规范化培训的质量和效果,将直接影响其专科适应情况,对医院护理水平和护理人力资源储备有较大的影响。
文摘A typical Markov network for modeling the interaction among targets can handle the error merge problem,but it suffers from the labeling problem due to the blind competition among collaborative trackers. In this paper,we propose a motion constraint Markov network model for multi-target tracking. By augmenting the typical Markov network with an ad hoc Markov chain which carries motion constraint prior,this proposed model can overcome the blind competition and direct the label to the corresponding target even in the case of severe occlusion. In addition,the motion constraint prior is formu-lated as a local potential function and can be easily incorporated in the joint distribution representation of the novel model. Experimental results demonstrate that our model is superior to other methods in solving the error merge and labeling problems simultaneously and efficiently.
