Search results for "vector analysis"

Vektoru rēķini

1942

Monitoring fire-affected areas using Thematic Mapper data

2001

In this paper three methods for updating inventories of burned areas have been presented and examined. They include Multitemporal Principal Component Analysis (MPCA), Change Vector Analysis (CVA) a...

Adaptive independent vector analysis for multi-subject complex-valued fMRI data.

2017

Abstract Background Complex-valued fMRI data can provide additional insights beyond magnitude-only data. However, independent vector analysis (IVA), which has exhibited great potential for group analysis of magnitude-only fMRI data, has rarely been applied to complex-valued fMRI data. The main challenges in this application include the extremely noisy nature and large variability of the source component vector (SCV) distribution. New method To address these challenges, we propose an adaptive fixed-point IVA algorithm for analyzing multiple-subject complex-valued fMRI data. We exploited a multivariate generalized Gaussian distribution (MGGD)- based nonlinear function to match varying SCV dis…

Validity of automated refraction after segmented refractive multifocal intraocular lens implantation

2017

Aim To evaluate the clinical utility of automated refraction (AR) and keratometry (KR) compared with subjective or manifest refraction (MR) after cataract or refractive lens exchange surgery with implantation of Lentis Mplus X (Oculentis GmbH) refractive multifocal intraocular lens (IOL). Methods Eighty-six eyes implanted with the Lentis Mplus X multifocal IOL were included. MR was performed in all patients followed by three consecutive AR measurements using the Topcon KR-8000 autorefractor. Assessment of repeatability of consecutive AR before and after dilation with phenylephrine 10%, and comparison of the AR and KR with MR using vector analysis were performed at 3mo follow-up. Results Ana…

Technique for prediction of outcome of election of national leaders.

1968

A technique is presented for evaluating the degree of support a candidate for national public office is likely to have at the polls. The technique involves the use of an adjective check list, Activity Vector Analysis (AVA), for which forms are available in French, Spanish, German, and Italian. Data are presented and discussed relative to a study made by the authors using this technique of public-image analysis just prior to the 1964 presidential elections in the United States. The data are based on the personality profiles of Johnson and Goldwater obtained from the public images held of these two candidates by 672 adults drawn from a population of voters representing a wide geographical di…