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KES
2006
Springer
14 years 9 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
COLT
2006
Springer
14 years 11 months ago
Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints
There are two main families of on-line algorithms depending on whether a relative entropy or a squared Euclidean distance is used as a regularizer. The difference between the two f...
Manfred K. Warmuth
80
Voted
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
14 years 11 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
COCOA
2009
Springer
15 years 28 days ago
An Effective Hybrid Algorithm for the Circles and Spheres Packing Problems
stract to be announcedPlenary session 09:00-10:00 Panos M, Pardalos, University of Florida, USA Tea Break 10:00-10:20 At the 1st floor 10:20-10:45 Polynomial Approximation Schemes ...
Jingfa Liu, Yonglei Yao, Yu Zheng, Huantong Geng, ...
CVPR
2008
IEEE
15 years 11 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary