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AAAI
1994
13 years 11 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
PR
2006
229views more  PR 2006»
13 years 10 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 8 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
TVLSI
2010
13 years 5 months ago
Test Data Compression Using Efficient Bitmask and Dictionary Selection Methods
Abstract--Higher circuit densities in system-on-chip (SOC) designs have led to drastic increase in test data volume. Larger test data size demands not only higher memory requiremen...
Kanad Basu, Prabhat Mishra
ICCV
2009
IEEE
1265views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
This paper addresses the problem of reconstructing the 3D motion trajectories of particle swarms using two temporally synchronized and geometrically calibrated cameras. The 3D traj...
Danping Zou, Qi Zhao, Hai Shan Wu, Yan Qiu Chen