نتایج جستجو برای: mt system mahalanobis distance md feature value effectiveness analysis

تعداد نتایج: 5483369  

2010
Charalampos Doukas Ilias Maglogiannis

This paper presents a speed-optimized face recognition system designed for mobile devices. Such applications may be used in the context of pervasive and assistive computing for the support of elderly suffering from dementia in recognizing persons or for the development of cognitive memory games Eigenfaces decomposition and Mahalanobis distance calculation have been utilized whereas the recognit...

Journal: :International journal of ophthalmology 2014
Federico Saenz-Frances Martha Cecilia Bermúdez-Vallecilla Lara Borrego-Sanz Luis Jañez José María Martinez-de-la-Casa Laura Morales-Fernandez Enrique Santos-Bueso Julián Garcia-Sanchez Julián Garcia-Feijoo

AIM To anatomically locate the points of minimum corneal thickness and central corneal thickness (pupil center) in relation to the corneal apex. METHODS Observational, cross-sectional study, 299 healthy volunteers. Thickness at the corneal apex (AT), minimum corneal thickness (MT) and corneal thickness at the pupil center (PT) were determined using the pentacam. Distances from the corneal ape...

2006
Raquel Ramos Pinho João Manuel R. S. Tavares Miguel V. Correia

We address the problem of tracking efficiently feature points along image sequences. To estimate the undergoing movement we use an approach based on Kalman filtering which performs the prediction and correction of the features movement in every image frame. In this paper measured data is incorporated by optimizing the global correspondence set based on efficient approximations of the Mahalanobi...

Journal: :The British journal of clinical psychology 1994
J R Crawford K M Allan

Burgess (1991) has proposed a new index of subtest scatter for the WAIS-R which uses a test statistic, the Mahalanobis Distance (MD). When used with the WAIS-R, MD scores should be distributed as chi square with 11 degrees of freedom. The suitability of the MD index for UK clinical practice was assessed by examining its psychometric properties in a sample of 200 healthy subjects. The sample, wh...

2016
Guangrun Wang Liang Lin Shengyong Ding Ya Li Qing Wang

The past decade has witnessed the rapid development of feature representation learning and distance metric learning, whereas the two steps are often discussed separately. To explore their interaction, this work proposes an end-to-end learning framework called DARI, i.e. Distance metric And Representation Integration, and validates the effectiveness of DARI in the challenging task of person veri...

Journal: :Neurocomputing 2014
Bing Long Weiming Xian Min Li Houjun Wang

Diagnostics of incipient faults for analog circuits is very important, yet very difficult. Traditionally, the soft faults can only be diagnosed under the occurrence of large variation of component parameters. In this paper, a novel approach for diagnosing incipient faults in analog circuits is proposed. First, a statistical property feature vector composed of range, mean, standard deviation, sk...

2001
Peter Deer Peter Eklund

We discuss an approach to change detection in digital remotely sensed imagery that relies on the Fuzzy Post Classification Comparison technique. We use the fuzzy -means classifier together with the Mahalanobis distance as the basis for a metric of class membership for a individual pixel. We note that the value of the fuzzy exponent in a fuzzy classifier is based on the ratios of the reciprocals...

2012
Siti Salwa Salleh Noor Aznimah Abdul Aziz Daud Mohamad

Distance measure is one of the techniques widely used to measure the similarity between two feature matrices of objects. The objective of this paper is to explore researches on applied distance measures in shape-based recognition. In distance measures computation, patterns that are similar will have a small distance while uncorrelated pattern in the feature space will have a far a part distance...

Journal: :JNW 2013
Wen Xiong Yaohong Jin

To study the generation of the semantic tree of Chinese sentence in Chinese-English Machine translation (MT), a new semantic-analysis model of Chinese multiplebranched and multiple-labeled tree (MMT) based on the hierarchical network of concepts (HNC) is proposed. Supported by word and rule knowledge-base of HNC, the model executed the semantic analysis using static and dynamic labels as a comp...

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