针对数据挖掘结果集数量巨大的特点,基于Focus+Context人机交互可视化技术实现结果集的B roadV iew and D etail on D em and导航可以有效帮助对挖掘结果的聚焦与探询,进而帮助用户快速找到所需要的信息。给出了基于规则层次凝聚类与Foc...针对数据挖掘结果集数量巨大的特点,基于Focus+Context人机交互可视化技术实现结果集的B roadV iew and D etail on D em and导航可以有效帮助对挖掘结果的聚焦与探询,进而帮助用户快速找到所需要的信息。给出了基于规则层次凝聚类与Focus+Context技术的可视化系统方法与原形系统,有效地解决了巨量规则的有效浏览与可视化问题,避免了直接对规则元素图形显示效果不佳的问题,从而有利于挖掘的应用。展开更多
The international conference on mountain development in a context of global change with special focus on the Himalayas was held in Kathmandu, Nepal on April 21-26.
In recent visual tracking research,correlation filter(CF)based trackers become popular because of their high speed and considerable accuracy.Previous methods mainly work on the extension of features and the solution o...In recent visual tracking research,correlation filter(CF)based trackers become popular because of their high speed and considerable accuracy.Previous methods mainly work on the extension of features and the solution of the boundary effect to learn a better correlation filter.However,the related studies are insufficient.By exploring the potential of trackers in these two aspects,a novel adaptive padding correlation filter(APCF)with feature group fusion is proposed for robust visual tracking in this paper based on the popular context-aware tracking framework.In the tracker,three feature groups are fused by use of the weighted sum of the normalized response maps,to alleviate the risk of drift caused by the extreme change of single feature.Moreover,to improve the adaptive ability of padding for the filter training of different object shapes,the best padding is selected from the preset pool according to tracking precision over the whole video,where tracking precision is predicted according to the prediction model trained by use of the sequence features of the first several frames.The sequence features include three traditional features and eight newly constructed features.Extensive experiments demonstrate that the proposed tracker is superior to most state-of-the-art correlation filter based trackers and has a stable improvement compared to the basic trackers.展开更多
Objective: To assess current heart failure (HF) care processes and organizational context in long-term care (LTC) homes as a prelude to adapting the Canadian Cardiovascular Society (CCS) HF guidelines for use in these...Objective: To assess current heart failure (HF) care processes and organizational context in long-term care (LTC) homes as a prelude to adapting the Canadian Cardiovascular Society (CCS) HF guidelines for use in these settings. Methods: This research reports on the results of thirteen focus groups (N = 83 participants;average of 60 minutes duration) conducted in three Ontario LTC homes to better understand how HF was managed and how organizational context impacted care. Participants included physicians, nurse practitioners, registered nurses, registered practical nurses, and personal support workers. Results: Focus group findings revealed that the complexity of the LTC environment presents challenges for managing HF. Most residents have multiple advanced chronic conditions that must be managed simultaneously. Culturally, LTC is first and foremost a resident’s home where residents may choose not to comply with care recommendations. Staff routines, scopes of practice, professional hierarchies, available resources and government regulations limit flexibility in providing care. Staff lacked knowledge, skills and resources for managing HF. Nevertheless, all staff viewed LTC as the preferred place for managing HF, avoiding residents’ hospitalizations wherever possible. These data suggest that strategies for improving LTC staff communication and education, strengthening existing relationships between staff, family, residents and community resources, and acquiring additional resources in LTC homes have the potential to improve HF management in this setting. Conclusion: LTC is a complex and dynamic environment that presents many challenges for providing care for residents. This research provides the foundation for subsequent work to develop and test implementation strategies to manage HF in LTC, which are consistent with the CCS HF guidelines and are feasible within LTC staff’s work routines, capacities and resources.展开更多
基金SuppoSed by the National Natural Science Foundation of China under Grant Nos.6067319560703078(国家自然科学基金)+2 种基金the National High-Tech Research and Development Plan of China under Grant No.2007AA04Z113(国家高技术研究发展计划(863))the National Basic Research Program of China under Grant No.2006CB303105(国家重点基础研究发展规划(973))the National Key Technology R&D Program of China under Grant No.2006BAF01A17(国家科技支撑计划)
文摘针对数据挖掘结果集数量巨大的特点,基于Focus+Context人机交互可视化技术实现结果集的B roadV iew and D etail on D em and导航可以有效帮助对挖掘结果的聚焦与探询,进而帮助用户快速找到所需要的信息。给出了基于规则层次凝聚类与Focus+Context技术的可视化系统方法与原形系统,有效地解决了巨量规则的有效浏览与可视化问题,避免了直接对规则元素图形显示效果不佳的问题,从而有利于挖掘的应用。
文摘The international conference on mountain development in a context of global change with special focus on the Himalayas was held in Kathmandu, Nepal on April 21-26.
基金supported by the National KeyResearch and Development Program of China(2018AAA0103203)the National Natural Science Foundation of China(62073036,62076031)the Beijing Natural Science Foundation(4202071)。
文摘In recent visual tracking research,correlation filter(CF)based trackers become popular because of their high speed and considerable accuracy.Previous methods mainly work on the extension of features and the solution of the boundary effect to learn a better correlation filter.However,the related studies are insufficient.By exploring the potential of trackers in these two aspects,a novel adaptive padding correlation filter(APCF)with feature group fusion is proposed for robust visual tracking in this paper based on the popular context-aware tracking framework.In the tracker,three feature groups are fused by use of the weighted sum of the normalized response maps,to alleviate the risk of drift caused by the extreme change of single feature.Moreover,to improve the adaptive ability of padding for the filter training of different object shapes,the best padding is selected from the preset pool according to tracking precision over the whole video,where tracking precision is predicted according to the prediction model trained by use of the sequence features of the first several frames.The sequence features include three traditional features and eight newly constructed features.Extensive experiments demonstrate that the proposed tracker is superior to most state-of-the-art correlation filter based trackers and has a stable improvement compared to the basic trackers.
文摘Objective: To assess current heart failure (HF) care processes and organizational context in long-term care (LTC) homes as a prelude to adapting the Canadian Cardiovascular Society (CCS) HF guidelines for use in these settings. Methods: This research reports on the results of thirteen focus groups (N = 83 participants;average of 60 minutes duration) conducted in three Ontario LTC homes to better understand how HF was managed and how organizational context impacted care. Participants included physicians, nurse practitioners, registered nurses, registered practical nurses, and personal support workers. Results: Focus group findings revealed that the complexity of the LTC environment presents challenges for managing HF. Most residents have multiple advanced chronic conditions that must be managed simultaneously. Culturally, LTC is first and foremost a resident’s home where residents may choose not to comply with care recommendations. Staff routines, scopes of practice, professional hierarchies, available resources and government regulations limit flexibility in providing care. Staff lacked knowledge, skills and resources for managing HF. Nevertheless, all staff viewed LTC as the preferred place for managing HF, avoiding residents’ hospitalizations wherever possible. These data suggest that strategies for improving LTC staff communication and education, strengthening existing relationships between staff, family, residents and community resources, and acquiring additional resources in LTC homes have the potential to improve HF management in this setting. Conclusion: LTC is a complex and dynamic environment that presents many challenges for providing care for residents. This research provides the foundation for subsequent work to develop and test implementation strategies to manage HF in LTC, which are consistent with the CCS HF guidelines and are feasible within LTC staff’s work routines, capacities and resources.
