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» Compression of Compound Documents
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ICDE
2007
IEEE
167views Database» more  ICDE 2007»
14 years 8 months ago
GString: A Novel Approach for Efficient Search in Graph Databases
Graphs are widely used for modeling complicated data, including chemical compounds, protein interactions, XML documents, and multimedia. Information retrieval against such data ca...
Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigen...
CPM
2010
Springer
175views Combinatorics» more  CPM 2010»
13 years 11 months ago
Compression, Indexing, and Retrieval for Massive String Data
The field of compressed data structures seeks to achieve fast search time, but using a compressed representation, ideally requiring less space than that occupied by the original i...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
TIFS
2008
121views more  TIFS 2008»
13 years 6 months ago
Effect of Severe Image Compression on Iris Recognition Performance
We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for ide...
John Daugman, Cathryn Downing
TSD
2009
Springer
13 years 11 months ago
Combining Text Vector Representations for Information Retrieval
Abstract. This paper suggests a novel representation for documents that is intended to improve precision. This representation is generated by combining two central techniques: Rand...
Maya Carrillo, Chris Eliasmith, Aurelio Lóp...
IPM
2007
95views more  IPM 2007»
13 years 6 months ago
Using structural contexts to compress semistructured text collections
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Joaquín Adiego, Gonzalo Navarro, Pablo de l...