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ACCV
2006
Springer
14 years 3 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
COLT
1995
Springer
14 years 1 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 8 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
ICCV
2007
IEEE
14 years 11 months ago
Gradient Intensity-Based Registration of Multi-Modal Images of the Brain
We present a fast and accurate framework for registration of multi-modal volumetric images based on decoupled estimation of registration parameters utilizing spatial information i...
Parastoo Sadeghi, Ramtin Shams, Richard I. Hartley...
ICPR
2008
IEEE
14 years 11 months ago
Scale-invariant medial features based on gradient vector flow fields
We propose a novel set of medial feature interest points based on gradient vector flow (GVF) fields [18]. We exploit the long ranging GVF fields for symmetry estimation by calcula...
Cristóbal Curio, David Engel