Thesis (doctoral)--Lund, 1981.

Thesis (MCIS)--AUT University, 2009. / Includes bibliographical references. Also held in print ( leaves : ill. ; 30 cm.) in the Archive at the City Campus (T 006.312 CRI)

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2004. / Thesis Advisor(s): Xiaoping Yun. Includes bibliographical references (p. 59-60). Also available online.

Thesis (Ph. D.)--Oregon State University, 2008. / Printout. Includes bibliographical references. Also available on the World Wide Web.

Dissertation (PhD)--University of Stellenbosch, 2006. / Bibliography. Also available via the Internet.

Thesis (MSc)--University of Stellenbosch, 2006. / Bibliography. Also available via the Internet.

Thesis (M.S.) University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 26, 2007) Includes bibliographical references.

Bernard C. Levy. / Bibliography: leaves 16-17. / "March 1984" / "ECS-83-12921" "AFOSR-82-0135A"

Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky. / Bibliography: leaf 21. / "March 1985." / "...supported in part by the National Science Foundation under Grant ECS-83-12921" "...supported... in part by the Army Research Office under Grant No. DAAG-29-84-K-0005."

A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding local relationships, such operators have significant drawbacks. Specifically, each filter’s span is confounded with the size of its sub-fields, making it difficult to compare small regions across large distances. We find that such long-distance comparisons are more tolerant to common image transformations than purely local ones, suggesting they may provide a useful vocabulary for image encoding. .We introduce the “Dissociated Dipole,” or “Sticks” operator, for encoding non-local image relationships. This operator de-couples filter span from sub-field size, enabling parametric movement between edge and region-based representation modes. We report on the perceptual plausibility of the operator, and the computational advantages of non-local encoding. Our results suggest that non-local encoding may be an effective scheme for representing image structure.