摘要 :
Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis (PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA ...
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Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis (PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA are independent and generally different with each principal component (PC). Therefore, we modify the regression model by replacing the elastic net with L_(2,1)-norm, which encourages row-sparsity that can get rid of the same features in different PCs, and utilize this new "self-contained" regression model to present a new framework for graph embedding methods, which can get sparse loadings via L_(2,1)-norm. Experiment on Pitprop data illustrates the row-sparsity of this modified regression model for PCA and experiment on YaleB face database demonstrates the effectiveness of this model for PCA in graph embedding.
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摘要 :
Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis(PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA a...
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Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis(PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA are independent and generally different with each principal component (PC). Therefore, we modify the regression model by replacing the elastic net with L_(2,1)-norm, which encourages row-sparsity that can get rid of the same features in different PCs, and utilize this new "self-contained" regression model to present a new framework for graph embedding methods, which can get sparse loadings via L_(2,1)-norm. Experiment on Pitprop data illustrates the row-sparsity of this modified regression model for PCA and experiment on YaleB face database demonstrates the effectiveness of this model for PCA in graph embedding.
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摘要 :
Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis(PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA a...
展开
Sparse principal component analysis (SPCA) is a popular method to get the sparse loadings of principal component analysis(PCA), it represents PCA as a regression model by using lasso constraint, but the selected features of SPCA are independent and generally different with each principal component (PC). Therefore, we modify the regression model by replacing the elastic net with L_(2,1)-norm, which encourages row-sparsity that can get rid of the same features in different PCs, and utilize this new "self-contained" regression model to present a new framework for graph embedding methods, which can get sparse loadings via L_(2,1)-norm. Experiment on Pitprop data illustrates the row-sparsity of this modified regression model for PCA and experiment on YaleB face database demonstrates the effectiveness of this model for PCA in graph embedding.
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摘要 :
Carbonate reservoirs in Gas Field A of Turkmenistan are evaluated and compared between different struc tures. The reservoirs of great anticline structures mainly presents characteristics of pore -vug texture, and the reser voir of...
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Carbonate reservoirs in Gas Field A of Turkmenistan are evaluated and compared between different struc tures. The reservoirs of great anticline structures mainly presents characteristics of pore -vug texture, and the reser voir of drape structure mainly presents characteristics of pore texture and fracture -pore texture. From the view of carbonate reservoir development, a new physical aggregative index Zs of reservoir property is proposed based on dy namic texture analysis, relatively low poroperm correlation and its relatively high correlation with central capillary pressure. The index is applied in actual reservoir analysis and it shows preferable availability in carbonate reservoir evaluation of Gas Field A. As a result, the reservoir is classified into four grades according to reservoir aggregative property. By means of capillary pressure data used to generate the gas saturation -gas column height curves of dif ferent grades' reservoirs, and to analyze liquid distribution combining with conventional and image logging data, and wireline formation testing data. The development and availability of fractures have regional apparent diversity. Finally, it is pointed out that fractures and micro -fractures play a very important role in gas deliverabili ty of carbonate reservoir development especially in drape structure area.
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摘要 :
Carbonate reservoirs in Gas Field A of Turkmenistan are evaluated and compared between different struc tures. The reservoirs of great anticline structures mainly presents characteristics of pore -vug texture, and the reser voir of...
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Carbonate reservoirs in Gas Field A of Turkmenistan are evaluated and compared between different struc tures. The reservoirs of great anticline structures mainly presents characteristics of pore -vug texture, and the reser voir of drape structure mainly presents characteristics of pore texture and fracture -pore texture. From the view of carbonate reservoir development, a new physical aggregative index Zs of reservoir property is proposed based on dy namic texture analysis, relatively low poroperm correlation and its relatively high correlation with central capillary pressure. The index is applied in actual reservoir analysis and it shows preferable availability in carbonate reservoir evaluation of Gas Field A. As a result, the reservoir is classified into four grades according to reservoir aggregative property. By means of capillary pressure data used to generate the gas saturation -gas column height curves of dif ferent grades' reservoirs, and to analyze liquid distribution combining with conventional and image logging data, and wireline formation testing data. The development and availability of fractures have regional apparent diversity. Finally, it is pointed out that fractures and micro -fractures play a very important role in gas deliverabili ty of carbonate reservoir development especially in drape structure area.
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Due to the differences such as the geographical environment, national characteristics, material conditions, history and culture and so on, dragon-dancing performances present various sights and unique style of performance contents...
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Due to the differences such as the geographical environment, national characteristics, material conditions, history and culture and so on, dragon-dancing performances present various sights and unique style of performance contents. Di LongDeng, which is popular in Ban Shajie Village, Da Yanban Village Jiusi Town Laifeng County, has a unique Image structure and rich aesthetic art, exquisite performing skill and rich local culture and art connotation, which is called folk art wonderful work in the history of dragon dancing in China, bearing the national essence of the traditional culture and playing a positive role in the process of cultural heritage and history development.
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Today, in order to enrich economic and scientific research value, sensor network and its data management system have been widely used in ocean observing and in real-time continuous data collecting. In this article, the risks assoc...
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Today, in order to enrich economic and scientific research value, sensor network and its data management system have been widely used in ocean observing and in real-time continuous data collecting. In this article, the risks associated with modeling, assessing, managing, and communicating of observing systems are taken into consideration, a cyber-infrastructure architecture is designed to ensure the global observation networks real-time, integrated network research and mass data analysis, with its base station communications, satellites and cables to transfer data, using distributed computing platform for real-time analysis of mass data of worldwide sensors to obtain the new progress of research topic and provide disaster warning. This is important to allow researchers study collaboratively with other researchers as if in their laboratories, also cause the public to further contact with sea world, and widen the public education road.
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摘要 :
Today, in order to enrich economic and scientific research value, sensor network and its data management system have been widely used in ocean observing and in real-time continuous data collecting. In this article, the risks assoc...
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Today, in order to enrich economic and scientific research value, sensor network and its data management system have been widely used in ocean observing and in real-time continuous data collecting. In this article, the risks associated with modeling, assessing, managing, and communicating of observing systems are taken into consideration, a cyber-infrastructure architecture is designed to ensure the global observation networks real-time, integrated network research and mass data analysis, with its base station communications, satellites and cables to transfer data, using distributed computing platform for real-time analysis of mass data of worldwide sensors to obtain the new progress of research topic and provide disaster warning. This is important to allow researchers study collaboratively with other researchers as if in their laboratories, also cause the public to further contact with sea world, and widen the public education road.
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This paper presents an introduction of an embedded processor-based laboratory environment monitor system and its design for hardware and software. This system aims at completing monitoring a variety of real-time data and the state...
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This paper presents an introduction of an embedded processor-based laboratory environment monitor system and its design for hardware and software. This system aims at completing monitoring a variety of real-time data and the states of laboratory, judging environmental index automatically, and detecting intrusions from outside companied with sound and light alarm. To sum up, this system achieves the intelligent management of laboratory. By wired or wireless means, the laboratory monitoring system can communicate with PC and realize telemetry, meeting the needs of unmanned laboratory.
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Gejia is an extremely rare minority ethnic group in China, which remains to be identified. From the perspective of the development of ethnic groups, the research pays special attention to the inheritance and protection of special ...
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Gejia is an extremely rare minority ethnic group in China, which remains to be identified. From the perspective of the development of ethnic groups, the research pays special attention to the inheritance and protection of special small ethnic folk sports culture, using the research methods, such as anthropological fieldwork, ethnic literature, non structural interview method and so on, Gejia's Folk sports culture has been excavated and sorted, and oral history and discourse deconstruction on the materials collected has been done, too. The result shows that Gejia's folk sports culture is ancient, rich and colorful. All of the grand ritual activities, rich and colorful holiday, shiny silver, simple gorgeous costumes, lyrically beautiful marriage customs, facile and graceful dance and so on contain the colorful sports culture. Gejia's folk sports culture with Gejia's unique style and features stands on the Chinese nation. With strong vitality, it deeply roots in Gejia people's heart, and adds the brightness for the Chinese nation's sports culture.
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