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» Likelihood Computations Using Value Abstraction
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CORR
2011
Springer
194views Education» more  CORR 2011»
13 years 1 months ago
Efficient Maximum Likelihood Estimation of a 2-D Complex Sinusoidal Based on Barycentric Interpolation
This paper presents an efficient method to compute the maximum likelihood (ML) estimation of the parameters of a complex 2-D sinusoidal, with the complexity order of the FFT. The...
J. Selva
IPPS
2006
IEEE
14 years 3 months ago
Phylogenetic models of rate heterogeneity: a high performance computing perspective
Inference of phylogenetic trees using the maximum likelihood (ML) method is NP-hard. Furthermore, the computation of the likelihood function for huge trees of more than 1,000 orga...
Alexandros Stamatakis
ECCV
2010
Springer
14 years 2 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
EMMCVPR
2001
Springer
14 years 2 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
ECCV
2010
Springer
14 years 1 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...