نتایج جستجو برای: Mahalanobis Distance

تعداد نتایج: 238579  

Journal: :CoRR 2015
Richard Altendorfer Sebastian Wirkert

The Mahalanobis distance is commonly used in multi-object trackers for measurement-to-track association. Starting with the original definition of the Mahalanobis distance we review its use in association. Given that there is no principle in multi-object tracking that sets the Mahalanobis distance apart as a distinguished statistical distance we revisit the global association hypotheses of multi...

2012
JOAKIM EKSTRÖM

Based on the reasoning expressed by Mahalanobis in his original article, the present article extends the Mahalanobis distance beyond the set of normal distributions. Sufficient conditions for existence and uniqueness are studied, and some properties derived. Since many statistical methods use the Mahalanobis distance as e vehicle, e.g. the method of least squares and the chi-square hypothesis t...

Journal: :CoRR 2010
Zoltán Prekopcsák Daniel Lemire

To classify time series by nearest neighbor, we need to specify or learn a distance. We consider several variations of the Mahalanobis distance and the related Large Margin Nearest Neighbor Classification (LMNN). We find that the conventional Mahalanobis distance is counterproductive. However, both LMNN and the class-based diagonal Mahalanobis distance are competitive.

Journal: :Proceedings - Mathematical Sciences 2020

Journal: :Technometrics 2015
Pedro Galeano Esdras Joseph Rosa E. Lillo

This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points belonging to curves generated by a stochastic process. More precisely, a new semi-distance for functional observations that generalize the usual Mahalanobis distance for multivariate datasets is introduced. For that, th...

Journal: :Applied Economics and Finance 2014

2009
Junae Kim Chunhua Shen Lei Wang

In this work, we propose a scalable and fast algorithm to learn a Mahalanobis distance metric. The key issue in this task is to learn an optimal Mahalanobis matrix in this distance metric. It has been shown in the statistical learning theory [?] that increasing the margin between different classes helps to reduce the generalization error. Hence, our algorithm formulates the Mahalanobis matrix a...

Journal: :Linear Algebra and its Applications 2006

Journal: :تحقیق در علوم شیلاتی 0
s bilici a kaya m.y dörtbudak

this study is made to find out the variations of the outer body morphology of luciobarbus mystaceus (pallas, 1814) belonging cyprinidae family that lived in tigris river system between january 2015 and december 2015 with geometric morphometric methods depending on gender, age and season. after being caught with fishnet having different meshes and brought to the laboratory, in total 58 (21♀♀, 37...

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