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» Adaptive Selectivity Estimation Using Query Feedback
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CN
2007
148views more  CN 2007»
14 years 11 months ago
Optimizing random walk search algorithms in P2P networks
In this paper we develop a model for random walk-based search mechanisms in unstructured P2P networks. This model is used to obtain analytical expressions for the performance metr...
Nabhendra Bisnik, Alhussein A. Abouzeid
VLDB
1997
ACM
141views Database» more  VLDB 1997»
15 years 4 months ago
Efficient User-Adaptable Similarity Search in Large Multimedia Databases
Efficient user-adaptable similarity search more and more increases in its importance for multimedia and spatial database systems. As a general similarity model for multi-dimension...
Thomas Seidl, Hans-Peter Kriegel
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
15 years 6 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
AMR
2003
Springer
130views Multimedia» more  AMR 2003»
15 years 5 months ago
NewsFlash: Adaptive TV News Delivery on the Web
In this paper we present NewsFlash, an adaptive search system that assists a searcher to efficiently search a library of stored TV news reports. The system automatically summarises...
Alan Haggerty, Ryen W. White, Joemon M. Jose
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 11 days ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider