Correlation based matching typically produces dense depth maps by calculating the disparity at each pixel within a neighborhood. This is achieved by taking a square window of certa...
One of the Web information Retrieval (IR) problems these days is to identify redundant information that exist in (replicated) Web documents. These documents can easily be found in...
We propose an ordinal-basedmeasure of image similarity. Thismeasureisbased on a recentlydevelopedgeneralframework for image correspondence and incorporates regionbased spatial inf...
Traditional phrase matching approaches, which can discover documents containing exactly the same phrases, fail to detect documents including phrases that are semantically relevant,...
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...