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» Querying Probabilistic Information Extraction
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SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 8 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
SIGIR
2005
ACM
14 years 1 months ago
Probabilistic hyperspace analogue to language
Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor’s three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual spa...
Leif Azzopardi, Mark Girolami, Malcolm Crowe
ECCV
2006
Springer
13 years 11 months ago
A Probabilistic Framework for Correspondence and Egomotion
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
Justin Domke, Yiannis Aloimonos
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 9 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
14 years 9 months ago
Efficient Query Subscription Processing in a Multicast Environment
Abstract Arturo Crespo, Orkut Buyukkokten, and Hector Garcia-Molina Stanford University With information dissemination (information push), data is delivered from a set of producers...
Arturo Crespo, Orkut Buyukkokten, Hector Garcia-Mo...