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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
ACCV
2006
Springer
13 years 11 months ago
Fast Global Motion Estimation Via Iterative Least-Square Method
Abstract. This paper presents a fast algorithm for global motion estimation based on Iterative Least- Square Estimation (ILSE) technique. Compared with the traditional framework, t...
Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu
KES
2006
Springer
13 years 5 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
TASLP
2010
97views more  TASLP 2010»
13 years 1 days ago
Voice Conversion Using Partial Least Squares Regression
Abstract--Voice conversion can be formulated as finding a mapping function which transforms the features of the source speaker to those of the target speaker. Gaussian mixture mode...
Elina Helander, Tuomas Virtanen, Jani Nurminen, Mo...
SMA
1995
ACM
190views Solid Modeling» more  SMA 1995»
13 years 8 months ago
Creating solid models from single 2D sketches
We describe a method of constructing a B-rep solid model from a single hidden-line removed sketch view of a 3D object. The main steps of our approach are as follows. The sketch is...
Ian J. Grimstead, Ralph R. Martin