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» Opportunistic Data Structures with Applications
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145
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CIKM
2011
Springer
14 years 3 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
MICCAI
2008
Springer
16 years 4 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
122
Voted
DAC
2005
ACM
15 years 5 months ago
Sign bit reduction encoding for low power applications
This paper proposes a low power technique, called SBR (Sign Bit Reduction) which may reduce the switching activity in multipliers as well as data buses. Utilizing the multipliers ...
M. Saneei, Ali Afzali-Kusha, Zainalabedin Navabi
185
Voted
TKDE
2002
148views more  TKDE 2002»
15 years 3 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
155
Voted
DKE
2002
113views more  DKE 2002»
15 years 3 months ago
A general strategy for decomposing topological invariants of spatial databases and an application
Topological invariants of spatial databases (i.e., finite structures that capture the topological properties of the database) are receiving increasing attention since they can act...
Serafino Cicerone, Daniele Frigioni, Paolino Di Fe...