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JAIR
2002
163views more  JAIR 2002»
13 years 5 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
CGF
2008
127views more  CGF 2008»
13 years 5 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan
COMGEO
2004
ACM
13 years 5 months ago
On simplifying dot maps
Dot maps--drawings of point sets--are a well known cartographic method to visualize density functions over an area. We study the problem of simplifying a given dot map: given a se...
Mark de Berg, Prosenjit Bose, Otfried Cheong, Pat ...
ACCV
2007
Springer
13 years 12 months ago
Backward Segmentation and Region Fitting for Geometrical Visibility Range Estimation
Abstract. We present a new application of computer vision: continuous measurement of the geometrical visibility range on inter-urban roads, solely based on a monocular image acquis...
Erwan Bigorgne, Jean-Philippe Tarel
GLOBECOM
2010
IEEE
13 years 3 months ago
Novel Robust Blind Equalizer for QAM Signals Using Iterative Weighted-Least-Mean-Square Algorithm
In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal sel...
Kun Yan, Hsiao-Chun Wu, Dongxin Xu, S. S. Iyengar