نتایج جستجو برای: mahalanobis distance md

تعداد نتایج: 279638  

2007
Nicolas Merlet

We present a new solution to the correspondence problem. It is based on dynamic programming, and can deal with image sequences. The overall potential characterizes the quality of matching of a point, and dynamic programming achieves consistency independently for each edge of the new image. The overall potential is deened on a pair of points as a function of two components : a potential deened f...

2011
Shradha Gupta Neetesh Gupta

Video has become an important element of multimedia computing and communication environments, with applications as varied as broadcasting, education, publishing and military intelligence. In Video Retrieval system, each video that is stored in the database has its features extracted and compared to the features of the query image. Proposed work is to retrieve video from the database by giving q...

2011
Eliahu Khalastchi Gal A. Kaminka Meir Kalech Raz Lin

Autonomy requires robustness. The use of unmanned (autonomous) vehicles is appealing for tasks which are dangerous or dull. However, increased reliance on autonomous robots increases reliance on their robustness. Even with validated software, physical faults can cause the controlling software to perceive the environment incorrectly, and thus to make decisions that lead to task failure. We prese...

2013
Kai Li Yufei Zhou

Semi-supervised clustering is an important method which can improve clustering performance by introducing partial supervised information. This paper mainly studies the semi-supervised fuzzy clustering based on Mahalanobis distance and Gaussian Kernel for SCAPC algorithm. Here, we give a new semi-supervised fuzzy clustering objective function. By solving the optimization problem with above objec...

Journal: :Innovare journal of education 2023

Mahalanobis distance is a metric for the between groups regarding specific criteria. measurement two data sets in space delineated by attributes. It will accurately assess giving various essential factors to characteristics of points since it considers variances and correlations characters. has an use education terms achievement analysis. powerful tool drawing inferences several variables. As d...

2014
Qizhou Hu Ningbo Gao Bing Zhang

In order to rationally evaluate the high speed railway operation safety level, the environmental safety evaluation index system of high speed railway should be well established by means of analyzing the impact mechanism of severe weather such as raining, thundering, lightning, earthquake, winding, and snowing. In addition to that, the attribute recognition will be identified to determine the si...

2012
Mohamed Lahby Leghris Cherkaoui Abdellah Adib

Abstract In next generation wireless communications, the evolution of the mobile terminal towards a multimode architecture, will allow the mobile users to benefit simultaneously from various radio access technologies (RAT’s). The most important issue is how to choose the most appropriate time to start a redirection of traffic flow, and how to choose the most suitable network in terms of quality...

Journal: :Annals of human genetics 1977
C A Smith

Various definitions of 'genetic distance' and 'frequency distance' are considered, together with the purposes for which they are used. There are at least seven simple definitions of 'genetic distance' which agree closely with each other and with a Mahalonobis-type D2 for qualitative characters, whereas other proposed definitions are mostly based on quite different approaches. The Mahalanobis-ty...

Journal: :Comput. Graph. Forum 2010
Roi Poranne Craig Gotsman Daniel Keren

We define a generalized distance function on an unoriented 3D point set and describe how it may be used to reconstruct a surface approximating these points. This distance function is shown to be a Mahalanobis distance in a higher-dimensional embedding space of the points, and the resulting reconstruction algorithm a natural extension of the classical Radial Basis Function (RBF) approach. Experi...

2015
Shigeo Abe

The covariance matrix in the Mahalanobis distance can be trained by semi-definite programming, but training for a large size data set is inefficient. In this paper, we constrain the covariance matrix to be diagonal and train Mahalanobis kernels by linear programming (LP). Training can be formulated by ν-LP SVMs (support vector machines) or regular LP SVMs. We clarify the dependence of the solut...

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