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Greene, Richard J.

Publications and source records attributed to Greene, Richard J..

Data exploration systems for databases

Data exploration systems apply machine learning techniques, multivariate statistical methods, information theory, and database theory to databases to identify significant relationships among the data and summarize information. The result of applying data exploration systems should be a better understanding of the structure of the data and a perspective of the data enabling an analyst to form hypotheses for interpreting the data. This paper argues that data exploration systems need a minimum amount of domain knowledge to guide both the statistical strategy and the interpretation of the resulting patterns discovered by these systems.

Greene, Richard J.

Detecting perceptual groupings in textures by continuity considerations

A generalization is presented for the second derivative of a Gaussian D(sup 2)G operator to apply to problems of perceptual organization involving textures. Extensions to other problems of perceptual organization are evident and a new research direction can be established. The technique presented is theoretically pleasing since it has the potential of unifying the entire area of image segmentation under the mathematical notion of continuity and presents a single algorithm to form perceptual groupings where many algorithms existed previously. The eventual impact on both the approach and technique of image processing segmentation operations could be significant.

Greene, Richard J.

On recognizing ignorance

How an expert system reasons about its own ability to deal with a particular problem is studied. Ideally, an expert system ought to rapidly recognize that a particular problem is beyond its abilities and defer to another, perhaps human, expert. This capability is extremely important in domains where expert systems may control life critical processes such as air traffic control, medicine, strategic defense, and manned space exploration. The methods used by knowledge engineers to infuse an expert system with knowledge of its own limitations is surveyed. A computability theory is employed to analyze the general problem of meta-knowledge and to give insight into the efficacy of specific solutions.

Greene, Richard J.