Results 111 to 120 of about 17,988 (163)
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Recursive Estimation of Linear Systems
Biometrika, 1986A three-stage procedure of estimation (as a modification of the familiar scheme [see the first author and \textit{J. Rissanen}, Biometrika 69, 81-94 (1982; Zbl 0494.62083), Corrections ibid. 70, 303 (1983)] for autonomous observations) is suggested for the model \[ \sum^{p}_{j=0}\alpha_ jy(t-j)=\sum^{r}_{j=1}\mu_ ju(t-j)+\sum^{q}_{j=0}\beta_ j\epsilon (
Hannan, E. J. +2 more
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The parabigeminal nucleus as a recursive estimator
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to encode the extrapolated RPE of a “virtual” target, although less vigorously as compared with an actual target.
Rui Ma 0002 +2 more
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A recursive Renyi's entropy estimator
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2003Estimating the entropy of a sample set is required, in solving numerous learning scenarios involving information theoretic optimization criteria. A number of entropy estimators are available in the literature; however, these require a batch of samples to operate on in order to yield an estimate.
Deniz Erdogmus +3 more
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On Recursive MMPP Parameter Estimation
IEEE Signal Processing Letters, 2008Recursive Markov-modulated Poisson process (MMPP) parameter estimation is performed by adapting an approach for hidden Markov model estimation developed by Krishnamurthy and Moore. Explicit expressions are developed for functions used in the recursion. The resulting approach is compared to a recursive MMPP estimation algorithm developed by Lindgren and
Christopher J. Willy +3 more
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Approximate Bayesian recursive estimation
Information Sciences, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Recursive estimation of motion and planar structure
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000A specialized formulation of Azarbayejani and Pentland's (1995) framework for recursive recovery of motion, structure and focal length from feature correspondences tracked through an image sequence is presented. The specialized formulation addresses the case where all tracked points lie on a plane. This planarity constraint reduces the dimension of the
Alon, Jonathan, Sclaroff, Stan
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Recursive Estimation and Difference Equations
Theory of Probability & Its Applications, 1993See the review in Zbl 0752.62058.
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Optimal Recursive Estimation of Raw Data
Annals of Operations Research, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anatoli Torokhti +2 more
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Recursive Estimation with Implicit Constraints
2007Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. However, many problems in computer vision, including all those resulting in homogeneous equation systems, are easier described using implicit constraints between the observations ...
Richard Steffen, Christian Beder
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Recursive Nonparametric Estimation for Time Series
IEEE Transactions on Information Theory, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yinxiao Huang +2 more
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