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Finding Nemo’s Giant Cousin: Keypoint Matching for Robust Re-Identification of Giant Sunfish
Journal of Marine Science and Engineering, 2023 The Giant Sunfish (Mola alexandrini) has unique patterns on its body, which allow for individual identification. By continuously gathering and matching images, it is possible to monitor and track individuals across location and time.
Malte Pedersen +2 more
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Norms and inequalities for condition numbers [PDF]
Pacific Journal of Mathematics, 1965 Abstract : The condition number c sub phi of a nonsingular matrix A is defined by c sub phi (A) = phi (A) phi (A superscript -1) where ordinarily phi is a norm. It was shown by J. D. Riley that if A is positive definite, c sub phi (A + kI) = or 0 and phi squared (A) is the maximum eigenvalue of AA* or phi squared (A) = Tr AA*.
Marshall, Albert W., Olkin, Ingram
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Improving the condition number of estimated covariance matrices
Tellus: Series A, Dynamic Meteorology and Oceanography, 2020 High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data assimilation procedures.
Jemima M. Tabeart +4 more
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Actuators, 2023 This study proposes a method for designing a class of rotationally symmetric Stewart platforms (RSSPs) with an insensitive condition number (ICN), which is used to minimize the condition number to achieve a high accuracy for a multi-degree-of-freedom ...
Chao Liang +3 more
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Condition number analysis and preconditioning of the finite cell method [PDF]
, 2016 The (Isogeometric) Finite Cell Method - in which a domain is immersed in a structured background mesh - suffers from conditioning problems when cells with small volume fractions occur.
de Prenter, F. +3 more
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A heuristic algorithm to combat outliers and multicollinearity in regression model analysis [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2022 As known, outliers and multicollinearity in the data set are among the important diffculties in regression models, which badly affect the leastsquares estimators. Under multicollinearity and outliers’ existence in the data set, the prediction performance
M. Roozbeh, S. Babaie-Kafaki, M. Manavi
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The Condition Number of Riemannian Approximation Problems [PDF]
SIAM Journal on Optimization, 2021 We consider the local sensitivity of least-squares formulations of inverse problems. The sets of inputs and outputs of these problems are assumed to have the structures of Riemannian manifolds. The problems we consider include the approximation problem of finding the nearest point on a Riemannian embedded submanifold from a given point in the ambient ...
Breiding, Paul, Vannieuwenhoven, Nick
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Condition numbers and their condition numbers
Linear Algebra and its Applications, 1995 In this interesting paper condition numbers are treated from the point of view of the unifying definition \[ \text{cond} (A) = \lim_{\varepsilon \to 0_ +} \sup_{\| \Delta A \| \leq \varepsilon \| A \|} {\bigl \| (A + \Delta A)^{-1} - A^{-1} \bigr \| \over \varepsilon \| A^{-1} \|}; \tag{1} \] similarly-defined condition numbers for linear systems are ...
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New Insights into the RLS Algorithm
EURASIP Journal on Advances in Signal Processing, 2004 The recursive least squares (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal equations.
Gänsler Tomas, Benesty Jacob
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAirborne LiDAR bathymetry (ALB) can seamlessly measure land and shallow water areas. However, many factors lead to point cloud thickness and stratification of adjacent swaths, which are unfavorable for generating seafloor topographic maps.
Yadong Guo +7 more
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