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» Improving Gradient Estimation by Incorporating Sensor Data
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 9 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
ICDE
2005
IEEE
108views Database» more  ICDE 2005»
14 years 9 months ago
Range Efficient Computation of F0 over Massive Data Streams
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
Pavan Aduri, Srikanta Tirthapura
ICRA
2000
IEEE
117views Robotics» more  ICRA 2000»
14 years 2 days ago
Practical Mobile Robot Self-Localization
A mapmaking robot integrates accumulated sensor data into a data structure that can be used for future localization or planning operations. Localization is the process of determin...
Jon Howell, Bruce Randall Donald
ICRA
2002
IEEE
106views Robotics» more  ICRA 2002»
14 years 18 days ago
Stochastic Mapping Frameworks
— Stochastic mapping is an approach to the concurrent mapping and localization (CML) problem. The approach is powerful because feature and robot states are explicitly correlated....
Richard J. Rikoski, John J. Leonard, Paul M. Newma...
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
Spatial normalization of array-CGH data
Background: Array-based comparative genomic hybridization (array-CGH) is a recently developed technique for analyzing changes in DNA copy number. As in all microarray analyses, no...
Pierre Neuvial, Philippe Hupé, Isabel Brito...