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» Capturing both Types and Constraints in Data Integration
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GRC
2010
IEEE
13 years 5 months ago
Genetic-Fuzzy Data Mining Techniques
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...
Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
26
Voted
ICCV
1999
IEEE
14 years 14 hour ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
14 years 1 months ago
Dynamic Vehicle Localization using Constraints Propagation Techniques on Intervals A comparison with Kalman Filtering
-In order to implement a continuous and robust dynamic localization of a mobile robot, the fusion of dead reckoning and absolute sensors is often used. Depending on the objectives ...
Amadou Gning, Philippe Bonnifait
ANOR
2006
133views more  ANOR 2006»
13 years 7 months ago
An integrated model for logistics network design
In this paper we introduce a new formulation of the logistics network design problem encountered in deterministic, single-country, single-period contexts. Our formulation is flexi...
Jean-François Cordeau, Federico Pasin, Mari...
AAAI
2006
13 years 9 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...