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ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
15 years 11 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
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...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
16 years 1 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
CIDR
2011
188views Algorithms» more  CIDR 2011»
14 years 10 months ago
Managing Structured Collections of Community Data
Data management is becoming increasingly social. We observe a new form of information in such collaborative scenarios, where users contribute and reuse information, which resides ...
Wolfgang Gatterbauer, Dan Suciu
ICDE
2006
IEEE
204views Database» more  ICDE 2006»
16 years 8 months ago
Working Models for Uncertain Data
This paper explores an inherent tension in modeling and querying uncertain data: simple, intuitive representations of uncertain data capture many application requirements, but the...
Anish Das Sarma, Omar Benjelloun, Alon Y. Halevy, ...