BACKGROUND The detection of change in magnitude of directional coupling between two non-linear time series is a common subject of interest in the biomedical domain, including studies involving the respiratory chemoreflex system. Although transfer entropy is a useful tool in this avenue, no study to date has investigated how different transfer entropy estimation methods perform in typical biomed...

We report that the perception of three-dimensional structure from monocular two-dimensional images changing over time--the kinetic depth effect (KDE)--can evoke binocular eye movements consistent with a three-dimensional percept. We used a monocular KDE stimulus that induced a vivid perception of a rigid three-dimensional sphere rotating in space. The gaze directions of both eyes were measured ...

IGH gene rearrangement and IGK-Kde gene deletion can be used as molecular markers for the assessment of B lineage acute lymphoblastic leukemia (B-ALL). Minimal residual disease detected based on those markers is currently the most reliable prognosis factor in B-ALL. The aim of this study was to use clonal IGH/IGK-Kde gene rearrangements to confirm B-ALL diagnosis and to evaluate the treatment o...

A tool for user choice of the local bandwidth function for a kernel density estimate is developed using KDE, a graphical object-oriented package for interactive kernel density estimation written in LISP-STAT. The bandwidth function is a cubic spline, whose knots are manipulated by the user in one window, while the resulting estimate appears in another window. A real data illustration of this me...

In this paper we propose KDE model for object segmentation on the basis of graph cut and density estimation. In this approach in the initial phase, the saliency map based graph cut is exploited to obtain an initial segmentation result. In the second phase iterative seed adjustment method results further segmentation and then exploits a balancing update scheme of segment refinement. And also it ...

BACKGROUND Neuronal morphology and function are highly coupled. In particular, dendritic spine morphology is strongly governed by the incoming neuronal activity. The first step towards understanding the structure-function relationships is to classify spine shapes into the main spine types suggested in the literature. Due to the lack of reliable automated analysis tools, classification is mostly...

We analyze a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by combining a traditional kernel density estimator (KDE) with ideas from classical M -estimation. The KDE based on a Gaussian kernel is interpreted as a sample mean in the associated reproducing kernel Hilbert space (RKHS). This mean is esti...

We describe our work in progress aimed at implementing a multi-hat PDA. Our current prototype is based on SELinux and KDE and accepts a proximity token, in the form of a Bluetooth cellphone, as an alternative authentication method. We analyse in detail the suitability of several alternatives for the graphical environment and underlying OS and we discuss a variety of interesting implementation i...

Background and Objectives This article analyses the approach of identifying critical traceability events (CTE) corresponding key data elements (KDE). The CTE–KDE is evidence-based that identifies, documents activities. It can be easily performed by (i) auditors; (ii) food manufacturers/processors; (iii) suppliers to access gaps in process supply chain. For example, for a grain processor storage...

This article studies the asymptotic properties of and alternative inference methods for kernel density estimation (KDE) dyadic data. We first establish uniform convergence rates KDE. Second, we propose a modified jackknife empirical likelihood procedure inference. The proposed test statistic is asymptotically pivotal regardless presence clustering. results are further extended to cover practica...