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The earliest celluloid film was shot by Louise Le Prince using the Le Prince single-lens camera made in 1888. It was taken in the garden of the Whitley family house in Oakwood Grange Road, Roundhay, a suburb of Leeds, Yorkshire, Great Britain, possibly on October 14, 1888. It shows Adolphe Le Prince (Le Prince's son), Mrs. Sarah Whitley, (Le Prince's mother-in-law), Joseph Whitley and...
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movie mobie roundhay 1888 cebit
Added by Martin on 2007-11-01 10:19:21
Roundhay Garden Scene
The earliest celluloid film was shot by Louise Le Prince using the Le Prince single-lens camera made in 1888. It was taken in the garden of the Whitley family house in Oakwood Grange Road, Roundhay, a suburb of Leeds, Yorkshire, Great Britain, possibly on October 14, 1888. It shows Adolphe Le Prince (Le Prince's son), Mrs. Sarah Whitley, (Le Prince's mother-in-law), Joseph Whitley and Miss Harriet Hartley. The 'actors' are shown walking around in circles, laughing to themselves and keeping within the area framed by the camera. It lasts for less than 2 seconds and includes 24 frames.
Louis Aimé Augustin Le Prince
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Web information retrieval is significantly more challenging than traditional well controlled,
small document collection information retrieval. One main difference between traditional information retrieval and Web information retrieval is the Web's hyperlink structure. This structure has been exploited by several of today's leading Web search engines, particularly Google and Teoma. In this survey pap...
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pagerank project:nexus ranking salsa eigenvector
Added by benbanbun on 2010-11-12 10:37:19
A SURVEY OF EIGENVECTOR METHODS FOR WEB INFORMATION RETRIEVAL
Web information retrieval is significantly more challenging than traditional well controlled,
small document collection information retrieval. One main difference between traditional information retrieval and Web information retrieval is the Web's hyperlink structure. This structure has been exploited by several of today's leading Web search engines, particularly Google and Teoma. In this survey paper, we focus on Web information retrieval methods that use eigenvector
computations, presenting the three popular methods of HITS, PageRank, and SALSA.
AMY N. LANGVILLE, CARL D. MEYER
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Many datasets of interest today are best described as a linked collection of interrelated objects. These may represent homogeneous networks, in which there is a single-object type and link type, or richer, heterogeneous networks, in which there may be multiple object and link types (and possibly other semantic information). Examples of homogeneous networks include single mode social networks, such as peo...
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project:nexus link_analysis link_mining link_prediction
Added by benbanbun on 2010-11-17 10:16:58
Link mining: A survey
Many datasets of interest today are best described as a linked collection of interrelated objects. These may represent homogeneous networks, in which there is a single-object type and link type, or richer, heterogeneous networks, in which there may be multiple object and link types (and possibly other semantic information). Examples of homogeneous networks include single mode social networks, such as people connected by friendship links, or the WWW, a collection of linked web pages. Examples of heterogeneous networks include those in medical domains describing patients, diseases, treatments and contacts, or in bibliographic domains describing publications, authors, and venues. Link mining refers to data mining techniques that explicitly consider these links when building predictive or descriptive models of the linked data. Commonly addressed link mining tasks include object ranking, group detection, collective classification, link prediction and subgraph discovery. While network analysis has been studied in depth in particular areas such as social network analysis, hypertext mining, and web analysis, only recently has there been a cross-fertilization of ideas among these different communities. This is an exciting, rapidly expanding area. In this article, we review some of the common emerging themes.
Lise Getoor, Christopher P. Diehl
