customers are the most valuable asset of an organization. due to high contest in the business field, it is necessary to regard the customer relationship management (crm) of the enterprise. data mining and machine learning methods been utilized by businesses in recent years in order to improve crm. crm is the strategy for building, managing, and strengthening loyal and long lasting customer rela...

this paper represents a new region-based active contour model that can be used to segment images with intensity non-uniformity and high level noise. the main idea of our proposed method is to use gaussian distributions with different means and variances with incorporation of intensity non-uniformity model for image segmentation. in order to integrate the spatial information between neighboring ...

functional magnetic resonance imaging (fmri) has become the most popular method for imaging of brain functions. currently, there is a large variety of software packages for the analysis of fmri data, each providing many features for users. since there is no single package that can provide all the necessary analyses for the fmri data, it is helpful to know the features of each software package. ...

in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

The problem of speech segmentation is a well-known challenge for various studies, such as language acquisition: how do children correctly infer the position of word boundaries in the continuous stream of speech? One solution to this problem, referred to as the utterance-boundary strategy, is to reuse the information provided by the occurrence of specific phonemes sequences at utterance edges in...

Introduction The morphologic features of human sperms are key indicators for monitoring fertility problems in men. Therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. Materials and Methods In the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from backgroun...

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

Market segmentation is the start point of executing targeted marketing strategy. This study aims to determine fit dimensions and appropriate specifications for the segmentation of herbal medicines market in order to provide production and market departments with fit strategies by identifying the profile of the market customers and recognizing their differences in the identified indices. This is...