In the paper by Jiang and Yang (2013), six classical Likelihood Ratio Test (LRT) statistics are studied under high-dimensional settings. Assuming that a random sample of size n is observed from a p-dimensional normal population, they derive the central limit theorems (CLTs) when p/n → y ∈ (0, 1], which are different from the classical chisquare limits as n goes to infinity while p remains fixed...

In this paper, we present our initial efforts in the task of Automatically Synchronizing live spoken Utterances with their Transcripts (textual contents) (ASUT). We address the problem of online detecting of the end time of a spoken utterance given its textual content, which is one of the key problems of the ASUT task. A frame-synchronous likelihood ratio test (FS-LRT) procedure is proposed and...

This paper introduces LRTwiki, an improved variant of the Likelihood Ratio Test (LRT). The central idea of LRTwiki is to employ a comprehensive domain specific knowledge source as additional “ontopic” data sets, and to modify the calculation of the LRT algorithm to take advantage of this new information. The knowledge source is created on the basis of Wikipedia articles. We evaluate on the two ...

The increasing availability of large-scale trajectory data provides us great opportunity to explore them for knowledge discovery in transportation systems using advanced data mining techniques. Nowadays, large number of taxicabs in major metropolitan cities are equipped with a GPS device. Since taxis are on the road nearly twenty four hours a day (with drivers changing shifts), they can now act...

The role of the statistical model-based voice activity detector (SMVAD) is to detect speech regions from input signals using the statistical models of noise and noisy speech. The decision rule of SMVAD is based on the likelihood ratio test (LRT). The LRT-based decision rule may cause detection errors because of statistical properties of noise and speech signals. In this article, we first analyz...

Although WS-BusinessActivity and BPEL4WS Long-Running Transaction (LRT) are conceptually very similar and are both designed to support the execution of complex business transactions, they differ in a large number of aspects. This is particularly true because BPEL4WS, unlike WSBusinessActivity, was not designed to support distributed coordination. This paper comprehensively discusses the similar...