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» Combining Methods for Dynamic Multiple Classifier Systems
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AROBOTS
2008
77views more  AROBOTS 2008»
15 years 19 days ago
Extending obstacle avoidance methods through multiple parameter-space transformations
Obstacle avoidance methods approach the problem of mobile robot autonomous navigation by steering the robot in real-time according to the most recent sensor readings, being suitab...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
115
Voted
CDC
2009
IEEE
217views Control Systems» more  CDC 2009»
15 years 5 months ago
Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control
— Control saturation is an important limitation in practical control systems and it is well known that performance degradation or instability may result if this limitation is not...
Justin Teo, Jonathan P. How
110
Voted
ATAL
2005
Springer
15 years 6 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...
ICIC
2005
Springer
15 years 6 months ago
Sequential Stratified Sampling Belief Propagation for Multiple Targets Tracking
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 28 days ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan