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ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 8 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
ARTMED
2002
119views more  ARTMED 2002»
15 years 6 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
WWW
2003
ACM
16 years 7 months ago
Evolving the Semantic Web with Mangrove
Despite numerous proposals for its creation, the semantic web has yet to achieve widespread adoption. Recently, some researchers have argued that participation in the semantic web...
Luke McDowell, Oren Etzioni, Steven D. Gribble, Al...
IJRR
2010
173views more  IJRR 2010»
15 years 5 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...
ICRA
2007
IEEE
117views Robotics» more  ICRA 2007»
16 years 27 days ago
Predicting Object Dynamics from Visual Images through Active Sensing Experiences
Prediction of dynamic features is an important task for determining the manipulation strategies of an object. This paper presents a technique for predicting dynamics of objects re...
Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Ko...