Computer Assisted Visual Interactive Recognition (CAVIAR) draws on sequential pattern recognition, image database, expert systems, pen computing, and digital camera technology. It is designed to recognize wild flowers and other families of similar objects more accurately than machine vision and faster than most laypersons. The novelty of the approach is that human perceptual ability is exploite...

Sequential state estimation has established itself as one of the essential elements of signal processing and control theory. Typically, we think of its use being confined to dynamic systems, where we are given a set of observables and the requirement is to estimate the hidden state of the system on which the observables are dependant. However, when the issue of interest is that of pattern-class...

In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in the database. When the items are frequently updated, the traditional way of counting support in sequential pattern mining may lead to incorrect (or, at least incomplete), conclusions. For example, if we are looking for ...