OBJECTIVES Discussion of different error concepts relevant to microarray experiments. Review of some commonly used multiple testing procedures. Comparison of different approaches as applied to gene expression data. METHODS This article focuses on familywise error rate (FWER) and false discovery rate (FDR) controlling procedures. Methods under investigation include: Bonferroni-type methods and...

The equations describing the rst two terms of an asymptotic expansion of the solution of the planar turbulent mixing layer for values of the velocity ratio close to one are obtained The rst term of this expansion is the solution of the well known time evolving problem and the second which includes the e ects of the increase of the turbulence scales in the stream wise direction obeys a linear sy...

Click-through rate (CTR) prediction is one of the fundamental tasks in online advertising and recommendation. Multi-layer perceptron (MLP) serves as a core component many deep CTR models, but it has been widely shown that applying vanilla MLP network alone ineffective learning complex feature interactions. As such, two-stream models (e.g., Wide&Deep, DeepFM, DCN) have recently proposed, aim...

BACKGROUND In recent years, analyses of event related potentials/fields have moved from the selection of a few components and peaks to a mass-univariate approach in which the whole data space is analyzed. Such extensive testing increases the number of false positives and correction for multiple comparisons is needed. METHOD Here we review all cluster-based correction for multiple comparison m...

BACKGROUND Testing for clustering at multiple ranges within a single dataset is a common practice in spatial epidemiology. It is not documented whether this approach has an impact on the type 1 error rate. METHODS We estimated the family-wise error rate (FWE) for the difference in Ripley's K functions test, when testing at an increasing number of ranges at an alpha-level of 0.05. Case and con...

This publication proposes a strategy to enhance the compression performance of Motion-JPEG2000 by the reduction of interframe redundancies. This is achieved by a new frame structure allowing to remove redundancies and to reconstruct the original stream without loss. The introduced advancement is able to increase the compression e ciency and keeps other bene cial property of the traditional code...

This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to imagebased properties, and then robustly tracking them. Moving targets are detected using the pixel wise difference between consecutive image frames. A classification metric is applied these targets with a temporal consistency constraint...

We introduce a novel way to employ codebooks trained by Learning Vector Quantization together with hidden Markov models. In previous work, LVQ-codebooks have been used as frame labelers. The resulting label stream has been modeled and decoded by discrete observation HMMs. We present a way to extract more information out of the LVQ stage. This is accomplished by modeling the class-wise quantizat...

Conventional least squares finite element methods (LSFEM) for incompressible flows conserve mass approximately. In some cases, this can lead to an unacceptable loss of mass and unphysical solutions. In this report we formulate a new, locally conservative LSFEM for the Stokes equations which computes a discrete velocity field that is point-wise divergence free on each element. To this end, we em...

We present a simple approach to the topological analysis of divergencefree 2D vector fields using discrete Morse theory. We make use of the fact that the point-wise perpendicular vector field can be interpreted as the gradient of the stream function. The topology of the divergence-free vector field is thereby encoded in the topology of a gradient vector field. We can therefore apply a formulati...