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» KESO: Minimizing Database Interaction
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VLDB
1999
ACM
133views Database» more  VLDB 1999»
15 years 2 months ago
Online Dynamic Reordering for Interactive Data Processing
We present a pipelining, dynamically usercontrollable reorder operator, for use in dataintensive applications. Allowing the user to reorder the data delivery on the fly increases...
Vijayshankar Raman, Bhaskaran Raman, Joseph M. Hel...
EDBT
2012
ACM
308views Database» more  EDBT 2012»
13 years 3 days ago
Transactional stream processing
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...
ECCV
2000
Springer
15 years 11 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
ICDE
2009
IEEE
200views Database» more  ICDE 2009»
15 years 11 months ago
Adaptive Scheduling of Web Transactions
In highly interactive dynamic web database systems, user satisfaction determines their success. In such systems, userrequested web pages are dynamically created by executing a numb...
Shenoda Guirguis, Mohamed A. Sharaf, Panos K. Chry...
MMS
2008
14 years 9 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu