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CVPR
2012
IEEE
12 years 2 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
IS
2010
13 years 7 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...
SSDBM
2010
IEEE
128views Database» more  SSDBM 2010»
14 years 2 months ago
A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events
One challenge in Earth science research is the accurate and efficient ad-hoc query and retrieval of Earth science satellite sensor data based on user-defined criteria to study and...
Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu, Mark...
SEMWEB
2010
Springer
13 years 6 months ago
Converting and Annotating Quantitative Data Tables
Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ...
Mark van Assem, Hajo Rijgersberg, Mari Wigham, Jan...
CCGRID
2004
IEEE
14 years 22 days ago
Data durability in peer to peer storage systems
In this paper we present a quantitative study of data survival in peer to peer storage systems. We first recall two main redundancy mechanisms: replication and erasure codes, whic...
G. Utard, Antoine Vernois