Estimating the proportion of land-use types in different regions is essential to promote the organization of a compact city and reduce energy consumption.However,existing research in this area has a few limitations:(1...Estimating the proportion of land-use types in different regions is essential to promote the organization of a compact city and reduce energy consumption.However,existing research in this area has a few limitations:(1)lack of consideration of land-use distribution-related factors other than POIs;(2)inability to extract complex relations from heterogeneous information;and(3)overlooking the correlation between land-use types.To overcome these limitations,we propose a knowledge-based approach for estimating land-use distributions.We designed a knowledge graph to display POIs and other related heterogeneous data and then utilized a knowledge embedding model to directly obtain the region embedding vectors by learning the complex and implicit relations present in the knowledge graph.Region embedding vectors were mapped to land-use distributions using a label distribution learning method integrating the correlation between land-use types.To prove the reliability and validity of our approach,we conducted a case study in Jinhua,China.The results indicated that the proposed model outperformed other algorithms in all evaluation indices,thus illustrating the potential of this method to achieve higher accuracy land-use distribution estimates.展开更多
This research presents an algorithm for face detection based on color images using three main components： skin color characteristics, hair color characteristics, and a decision structure which converts the obtained i...This research presents an algorithm for face detection based on color images using three main components： skin color characteristics, hair color characteristics, and a decision structure which converts the obtained information from skin and hair regions to labels for identifying the object dependencies and rejecting many of the incorrect decisions. Here we use face color characteristics that have a good resistance against the face rotations and expressions. This algorithm is also capable of being combined with other methods of face recognition in each stage to improve the detection.展开更多
针对传统XML文档小枝模式查询算法中,与模式树中标签名相同的节点均入内存,易造成很大的空间浪费问题,提出了一种新的算法—StreamFWM(StreamFilter Without Merging)。StreamFWM采用区间编码方式,依据节点间的结构关系过滤标签流中无...针对传统XML文档小枝模式查询算法中,与模式树中标签名相同的节点均入内存,易造成很大的空间浪费问题,提出了一种新的算法—StreamFWM(StreamFilter Without Merging)。StreamFWM采用区间编码方式,依据节点间的结构关系过滤标签流中无用的中间节点,且不用归并,只用简单的栈和列表实现。实验结果证明,算法StreamFWM相比TwigStack在查询处理的性能上有所提高。展开更多
基金supported by N ational Natural Science Foundation of China[grant number 41801313].
文摘Estimating the proportion of land-use types in different regions is essential to promote the organization of a compact city and reduce energy consumption.However,existing research in this area has a few limitations:(1)lack of consideration of land-use distribution-related factors other than POIs;(2)inability to extract complex relations from heterogeneous information;and(3)overlooking the correlation between land-use types.To overcome these limitations,we propose a knowledge-based approach for estimating land-use distributions.We designed a knowledge graph to display POIs and other related heterogeneous data and then utilized a knowledge embedding model to directly obtain the region embedding vectors by learning the complex and implicit relations present in the knowledge graph.Region embedding vectors were mapped to land-use distributions using a label distribution learning method integrating the correlation between land-use types.To prove the reliability and validity of our approach,we conducted a case study in Jinhua,China.The results indicated that the proposed model outperformed other algorithms in all evaluation indices,thus illustrating the potential of this method to achieve higher accuracy land-use distribution estimates.
文摘This research presents an algorithm for face detection based on color images using three main components： skin color characteristics, hair color characteristics, and a decision structure which converts the obtained information from skin and hair regions to labels for identifying the object dependencies and rejecting many of the incorrect decisions. Here we use face color characteristics that have a good resistance against the face rotations and expressions. This algorithm is also capable of being combined with other methods of face recognition in each stage to improve the detection.
文摘针对传统XML文档小枝模式查询算法中,与模式树中标签名相同的节点均入内存,易造成很大的空间浪费问题,提出了一种新的算法—StreamFWM(StreamFilter Without Merging)。StreamFWM采用区间编码方式,依据节点间的结构关系过滤标签流中无用的中间节点,且不用归并,只用简单的栈和列表实现。实验结果证明,算法StreamFWM相比TwigStack在查询处理的性能上有所提高。
