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» Common p-belief and uncertainty
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CVPR
2009
IEEE
15 years 3 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 10 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ICDE
2007
IEEE
158views Database» more  ICDE 2007»
14 years 9 months ago
Efficient Evaluation of Imprecise Location-Dependent Queries
In location-based services, it is common for a user to issue a query based on his/her current position. One such example is "find the available cabs within two miles of my cu...
Jinchuan Chen, Reynold Cheng
ICDE
2003
IEEE
143views Database» more  ICDE 2003»
14 years 9 months ago
Querying Imprecise Data in Moving Object Environments
In moving object environments, it is infeasible for the database tracking the movement of objects to store the exact locations of objects at all times. Typically, the location of a...
Reynold Cheng, Sunil Prabhakar, Dmitri V. Kalashni...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 3 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard