In TREC-8, we participated in the automatic and manual tracks for category A as well as the small web track. This year, we focussed on improving our baseline and then introduced some experimental improvements. Our automatic runs used relevance feedback with a high-precision first pass to select terms and then a high-recall final pass. For manual runs, we used predefined concept lists focussing ...

Query Expansion (QE) is one of the most important mechanisms in the information retrieval field. A typical short Internet query will go through a process of refinement to improve its retrieval power. Most of the existing QE techniques suffer from retrieval performance degradation due to imprecise choice of query’s additive terms in the QE process. In this paper, we introduce a novel automated Q...

We present a phonetic algorithm that fuses existing techniques and introduces new features. This combination offers improved precision and recall.

The status of fault patterns on part surfaces can provide valuable information about the condition of the manufacturing system. In this work, we aim to develop a reliable fault detection and diagnosis tool in order to assure the automated production of high-quality parts. Such a tool provides a means of integrating the manufacturing and design phases. Accurate detection of the part surface cond...

Abstract Although subjective test is the most accurate image/video quality assessment tool, it extremely time demanding. In past two decades, a variety of objective measuring tools, such as SSIM, IW-SSIM, SPSIM, FSIM, etc., have been devised, that well correlate with tests results. However, main problem these methods they do not discriminate measured enough, especially at high range. this artic...

Evaluating the generalization performance of learning machines without using additional test samples is one of the most important issues in the machine learning community. The subspace information criterion (SIC) is one of the methods for this purpose, which is shown to be an unbiased estimator of the generalization error with finite samples. Although the mean of SIC agrees with the true genera...

With currently available RNA-Seq pipelines, expression estimates for most genes are very noisy. We here introduce MapAl, a tool for RNA-Seq expression profiling that builds on the established programs Bowtie and Cufflinks. In the post-processing of RNA-Seq reads, it incorporates gene models already at the stage of read alignment, increasing the number of reliably measured known transcripts cons...

BACKGROUND Accurate and precise QT interval measurement is very important for both regulatory and drug developmental decision making. These measurements are often made using a manual or semi-automated technique, and the associated variability necessitates sample sizes of around 50 to 70 subjects in thorough QT/QTc studies. The purpose of this study was to compare the reproducibility and precisi...