The Mixed Aggregation by Comprehensive Normalization Technique (MACONT) is a well-known Multi-Criteria Decision-Making (MCDM) method with significant benefits compared to traditional approaches. key difference that distinguishes this from most others the use of data normalization techniques and aggregation MACONT uses three different simultaneously along two approaches throughout its evaluation...

BACKGROUND We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes. METHODOLOGY Genes are normalized using an error model based uniform normalization method aimed at identifying and estimating the sources of variations. The model minimizes the correlation among error terms across replicates. ...

Introduction: Currently, diagnosis of hypokinetic left ventricle (LV) wall motion is generally based on visual inspection of cardiac magnetic resonance cine images. Studies have shown that this method may be inaccurate, time consuming and suffer from high inter-observer variability [1]. Therefore we propose an algorithm for automated detection of abnormal wall motion that includes inter-subject...

Source-normalization (SN) is an effective means of improving the robustness of i-vector-based speaker recognition for under-resourced and unseen cross-speech-source evaluation conditions. The technique of source-normalization estimates directions of undesired within-speaker variation more accurately than traditional methods when cross-source variation is not explicitly observed from each speake...

This article reviews some recent developments on the inference of time series data using the self-normalized approach. We aim to provide a detailed discussion about the use of self-normalization in different contexts, and highlight distinctive feature associated with each problem and connections among these recent developments. The topics covered include: confidence interval construction for a ...

Re-analysis of publicly available datasets Lucia Peixoto, Davide Risso, Shane G. Poplawski, Mathieu, E. Wimmer, Terence P. Speed, Marcelo A. Wood and Ted Abel We retrieved the pre-processed data of several publicly available studies from GEO (see main text for details). In this Section, we plot the PCA of each dataset using the original normalization. Starting from the data as normalized by the...

In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear regression model were used to estimate distribution of biomass resources in 2010. The establishment of models, developed using different vegetation biomass sample data, normalized difference vegetation index (NDVI), leaf area index (LAI), meteorological data, coordinates, terrain data, and statisti...

The purpose of this investigation was to determine if phase plot normalization and phase angle definitions would have an affect on continuous relative phase calculations. A subject ran on a treadmill while sagittal plane kinematic data were collected with a high-speed (180 Hz) camera. Segmental angular displacements and velocities were used to create phase plots, and examine the coordination be...

Information fusion at the matching score level is widely used, due to the simplicity in combining the scores generated by different matchers. Since the matching scores output by various modalities are diverse in numerical range, score normalization is needed first, to transform these scores into a common domain. Then score fusion is to be carried out on the normalized scores. In this paper, we ...