Widespread interest in time-series similarity search has made more in need of efficient technique, which can reduce dimensionality of the data and then to index it easily using a ...
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
The improvement on the QSAR prediction of the trans-stilbenes affinity for the -amyloid peptide (employed for detecting the Alzheimer disease) achieved by means of using approximat...
Irene Luque Ruiz, Manuel Urbano-Cuadrado, Miguel &...
The clustering-based approach for detecting abnormalities in surveillance video requires the appropriate definition of similarity between events. The HMM-based similarity defined ...
In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries...