Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
Abstract. Pushdown systems (PDSs) are an automata-theoretic formalism for specifying a class of infinite-state transition systems. Infiniteness comes from the fact that each con...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
This paper presents a signal processing tool for analyzing and manipulating digitized acoustic wave fields, based on a spatio-temporal extension of the time–frequency represent...
Asynchronous method calls have been proposed to better integrate object orientation with distribution. In the Creol language, asynchronous method calls are combined with so-called...