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» Adaptive Selectivity Estimation Using Query Feedback
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ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 9 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
IS
2006
13 years 9 months ago
Processing approximate aggregate queries in wireless sensor networks
In-network data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networks. Nodes of the network form an a...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
TREC
2003
13 years 11 months ago
Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
CVIU
2004
155views more  CVIU 2004»
13 years 9 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
JACM
2012
12 years 6 days ago
Continuous sampling from distributed streams
A fundamental problem in data management is to draw and maintain a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With la...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang