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» Approximation algorithms for developable surfaces
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ECCV
2006
Springer
14 years 10 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
14 years 3 months ago
A new approach to segmentation of 2D range scans into linear regions
— Toward obtaining a compact and multiresolution representation of 2D range scans, a wavelet framework is proposed for encoding an orientation measure called Running Angle (RA). ...
Ahad Harati, Roland Siegwart
RTCSA
2007
IEEE
14 years 3 months ago
A Dynamic Medial Axis Model for Sensor Networks
An important property in a sensor network is the monitoring of temporal changes of hazardous situations such as forest fires. Rescue groups need to be aware of dynamic changes th...
Lan Lin, Hyunyoung Lee
ICA
2007
Springer
14 years 23 days ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
NIPS
2001
13 years 10 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...