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CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 7 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
ECCV
2004
Springer
16 years 8 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
DEXA
2003
Springer
149views Database» more  DEXA 2003»
15 years 11 months ago
Capturing Uncertainty in Spatial Queries over Imprecise Data
Emerging applications using miniature electronic devices (e.g., tracking mobile objects using sensors) generate very large amounts of highly dynamic data that poses very high overh...
Xingbo Yu, Sharad Mehrotra
INFOSCALE
2007
ACM
15 years 8 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi
MICCAI
2009
Springer
16 years 7 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter