Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
or vectors at every mesh point may lead to a very cluttered image. Continuous coloring or data mapping, on the other hand, provide a smooth representation of the data. The use of t...
This paper introduces a shape descriptor, the soft shape context, motivated by the shape context method. Unlike the original shape context method, where each image point was hard ...
Digital visual libraries have currently available huge amounts of content in unstructured, nonindexed form. Since these collections keep growing fast, retrieving specific images i...
Combining ideas from several previous proposals, such as Active Pages, DIVA, and ULMT, we present the Memory Arithmetic Unit and Interface (MAUI) architecture. Because the “inte...
Justin Teller, Charles B. Silio Jr., Bruce L. Jaco...