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» A Data Model for Moving Objects Supporting Aggregation
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SIGIR
2006
ACM
15 years 3 months ago
Using historical data to enhance rank aggregation
Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningless devia...
Miriam Fernández, David Vallet, Pablo Caste...
SIGMOD
2000
ACM
120views Database» more  SIGMOD 2000»
15 years 1 months ago
Indexing the Positions of Continuously Moving Objects
The coming years will witness dramatic advances in wireless communications as well as positioning technologies. As a result, tracking the changing positions of objects capable of ...
Simonas Saltenis, Christian S. Jensen, Scott T. Le...
EDBT
2009
ACM
81views Database» more  EDBT 2009»
15 years 2 months ago
Exploiting similarity-aware grouping in decision support systems
Decision Support Systems (DSS) are information systems that support decision making processes. In many scenarios these systems are built on top of data managed by DBMSs and make e...
Yasin N. Silva, Muhammad U. Arshad, Walid G. Aref
ICRA
2010
IEEE
188views Robotics» more  ICRA 2010»
14 years 7 months ago
Classification and prediction for accurate sensor-based assembly to moving objects
Abstract-- Typical industrial assembly tasks require an accuracy that cannot be realized by only feedback control if a minimum speed is given by a conveyor. Feed-forward has proven...
Friedrich Lange, Johannes Scharrer, Gerd Hirzinger
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 12 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich