نتایج جستجو برای: parameter of segmentation
تعداد نتایج: 21185115 فیلتر نتایج به سال:
One of the basic problems in signature verification is variability and differences apparent on patterns of signature even for an individual. Signature segmentation to basic components, in addition to the access to the stable features, the hidden differences are revealed between genuine and forgery patterns. In this paper, signature patterns of two-dimensional are segmented by using dominant poi...
insurers have in the past few decades faced longevity risks - the risk that annuitants survive more than expected - and therefore need a new approach to manage this new risk. in this dissertation we survey methods that hedge longevity risks. these methods use securitization to manage risk, so using modern financial and insurance pricing models, especially wang transform and actuarial concepts, ...
Abstract The study of natural and human-made processes often results in long sequences temporally-ordered values, aka time series (TS). Such consist multiple states, e.g. operating modes a machine, such that state changes the observed result distribution shape measured values. Time segmentation (TSS) tries to find TS post-hoc deduce data-generating process. TSS is typically approached as an uns...
all analytical methods are generally based on the measurement of a parameter or parameters which are somehow related to the concentration of the species.an ideal analytical method is one in which the concentration of a species can be measured to a high degree precision and accuracy and with a high sensitivity. unfortunately finding such a method is very difficult or sometimes even impossible.in...
the main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. a simple way to take a sample of size n is to let all the possible samples have the same probability of being selected. this is called simple random sampling and then all units have the same probability of being ch...
Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...
We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...
The present study was conducted with the aim of the effects of segmentation and redundancy methods on cognitive load and vocabulary learning and comprehension of English lessons in a multimedia learning environment.The purpose of this study is an applied research and a real experimental study. The statistical population of the present study includes all people aged 14 to 16 who are enrolled in ...
The graph cut based approach has become very popular for interactive segmentation of the object of interest from the background. One of the most important and yet largely unsolved issues in the graph cut segmentation framework is parameter selection. Parameters are usually fixed beforehand by the developer of the algorithm. There is no single setting of parameters, however, that will result in ...
The performance of automatic segmentation algorithms often depends critically upon a number of parameters intrinsic to the algorithm. Appropriate setting of these parameters is a pre-requisite for successful segmentation, and yet may be difficult for users to achieve. We propose here a novel algorithm for the automatic selection of optimal parameters for medical image segmentation. Our algorith...
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