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ICCVW
1999
Springer
13 years 11 months ago
Bundle Adjustment - A Modern Synthesis
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
AMC
2005
168views more  AMC 2005»
13 years 7 months ago
Comparison between the homotopy analysis method and homotopy perturbation method
In this paper, we show that the so-called ``homotopy perturbation method'' is only a special case of the homotopy analysis method. Both methods are in principle based on...
Shijun Liao
ICASSP
2011
IEEE
12 years 11 months ago
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
In this paper we introduce a new technique for estimating the parameters of the Keplerian model commonly used in radial velocity data analysis for extrasolar planet detection. The...
Prabhu Babu, Petre Stoica
CVPR
2003
IEEE
14 years 9 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
CVPR
2008
IEEE
14 years 9 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán