Abstract Over the last decades, international attempts have been made to develop realistic space weather prediction tools aiming forecast conditions on Sun and in interplanetary environment. These efforts led development of appropriate metrics assess performance those tools. Metrics are necessary validate models, compare different monitor improvements a certain model over time. In this work, we...

Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input. Nowadays, it has been receiving much interest due to the high volume of information stored in audio or audiovisual format. QbE STD differs from automatic speech recognition (ASR) and keyword spotting (KWS)/spoken term detection ...

The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise. I propose a solution to this problem that is a simple extension of the classic dynamic time warping algorithm for speech recog...

In this paper, we describe some considerations on a speaker-independent word recognition method on a large vocabulary size by the concatenation of syllable templates and a stochastic dynamic time warping method, where syllable templates are taken from spoken words. We got the reference patterns from 216 words uttered by 30 male speakers and recognized the other 200 words uttered by the other 10...

We describe a model of visual word recognition that accounts for several aspects of the temporal processing of sequences of briefly presented words. The model utilizes a new representation for written words, based on dynamic time warping and multidimensional scaling. The visual input passes through cascaded perceptual, comparison, and detection stages. We describe how these dynamical processes ...

Batch and semi-batch modes of production are common in a number of high value-added industries including specialty chemicals, pharmaceuticals, and biologics. Online monitoring of such processes seeks to detect run-to-run deviations, anomalies or faulty conditions by analyzing real-time measurements so that they can be corrected quickly and the batch recovered. Multivariate statistical methods h...

A new version of dynamic time warping for samples of observed event times that are modeled as time-warped intensity processes is introduced. The approach is developed within a framework where for each experimental unit or subject in a sample, a random number of event times or random locations can be observed. As in this setting the number of observed events differs from subject to subject, usua...