Electronic voting is done by recording election data centrally and presenting it into fast digital information. E-voting an internet technology, which aims to improve the performance of process, expected be a breakthrough in technological development that helps human work. Security constraints e-voting include distribution voting, for example voters who distribute rights, are illegitimate can a...

We can reach by DNA microarray gene expression to such wealth of information with thousands of variables (genes). Analysis of this information can show genetic reasons of disease and tumor differences. In this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...

Previous papers reported the effectiveness in classification of cancers with their gene expression portraits [1, 2, 3]. Golub et al. [3] selected 50 genes of high predictive value to differentiate 2 types of leukemia by ‘weighted voting algorithm’. However it remains to be known whether we can apply this type of specific algorithms to classify different types of cancer. We, therefore, attempted...

An interpolation-based unique decoding algorithm of Algebraic Geometry codes was recently introduced. The algorithm iteratively computes the sent message through a majority voting procedure using the Gröbner bases of interpolation modules. We now combine the main idea of the Guruswami-Sudan list decoding with the algorithm, and thus obtain a hybrid unique decoding algorithm of plane AG codes, s...

BACKGROUND Muscle fiber orientation (MFO) is an important parameter related to musculoskeletal functions. The traditional manual method for MFO estimation in sonograms was labor-intensive. The automatic methods proposed in recent years also involved voting procedures which were computationally expensive. METHODS In this paper, we proposed a new framework to efficiently estimate MFO in sonogra...

A new machine learning algorithm for the diagno sis of cardiac arrhythmia from standard lead ECG recordings is presented The algorithm is called VFI for Voting Feature Intervals VFI is a supervised and inductive learning algorithm for inducing classi cation knowledge from examples The input to VFI is a train ing set of records Each record contains clinical mea surements from ECG signals and som...

The estimation of fundamental matrix from two-view images has been an important topic of research in 3D computer vision. In this paper, we present an improved robust algorithm for fundamental matrix estimation via modification of the RANSAC algorithm. The proposed algorithm is based on constructing a voting array for all the point correspondence pairs to record the consistency votes for each po...

An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become available, even if the new data introduce additional classes that were not formerly seen. The algorithm does not require access to previously used datasets, yet it is capable of largely retaining the previously acquired kn...