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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
WWW
2009
ACM
16 years 7 months ago
Sitemaps: above and beyond the crawl of duty
Comprehensive coverage of the public web is crucial to web search engines. Search engines use crawlers to retrieve pages and then discover new ones by extracting the pages' o...
Uri Schonfeld, Narayanan Shivakumar
WWW
2009
ACM
16 years 7 months ago
Dataplorer: a scalable search engine for the data web
More and more structured information in the form of semantic data is nowadays available. It offers a wide range of new possibilities especially for semantic search and Web data in...
Haofen Wang, Qiaoling Liu, Gui-Rong Xue, Yong Yu, ...
WWW
2008
ACM
16 years 7 months ago
Recrawl scheduling based on information longevity
It is crucial for a web crawler to distinguish between ephemeral and persistent content. Ephemeral content (e.g., quote of the day) is usually not worth crawling, because by the t...
Christopher Olston, Sandeep Pandey