Multi-modal data analytics publications

We argue that an object-centered representation is most appropriate for this purpose becasue it naturally accomodates multiple sources of data, multiple images (including motion sequences of a rigid object), and…

In this paper, we present a surface interpolation algorithm based on variational splines which is well suited to massively parallel computers.

We identify a number of weaknesses in current recognition systems and propose specific mechanisms for dealing with some of these problems.

The KNIFE segmentation algorithm splits regions along object boundaries, thus avoiding rectangular quadtree artifacts and establishing a context for good statistical decisions.

SRI’s KNIFE image analysis system can be used for tracking objects and material classes from one image to another.

A new coarse-coding technique is presented for labeling image pixels and regions to match exemplars or multivariate material signatures.

The fractal surface model provides a formalism that is competent to describe such natural 3-D surfaces and, in addition, is able to predict human perceptual judgments of smoothness versus roughness.

This paper describes a morphological analyzer which, when parsing a word, uses two sets of rules: describing the syntax of words, and rules describing facts about orthography.

We present a paradigm for discovering the outlines of arbitrarily complex cultural objects in aerial imagery.

An inductive approach consisting of two parts is presented. The first involves a scheme for describing the shapes of curves and surfaces and the second relies on a criterion for…

If it is possible to interpret an image as a projection of rectangular forms, there is a strong tendency for people to do so. In effect, a mathematical basis for…