Division 38: Bibliography

BIBLIOGRAPHY: 1998

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Eric Mjolsness and Willard L. Miranker. A Lagrangian Formulation of Neural Networks I: Theory and Analog Dynamics. Neural, Parallel and Scientific Computations Vol 6 No. 3, pp. 297-336, 1998.
G. Marnellos and E. Mjolsness. A Gene Network Model of Resource Allocation to Growth and Reproduction. Artificial Life VI, eds. C. Adami, R. K. Belew, H. Kitano, and C. E. Taylor, MIT Press, 1998.
G. Marnellos and E. Mjolsness. Probing the Dynamics of Cell Differentiation in a Model of Drosophila Neurogenesis. Artificial Life VI, eds. C. Adami, R. K. Belew, H. Kitano, and C. E. Taylor, MIT Press, 1998.
G. Marnellos and E. Mjolsness. 1997. In Pacific Symposium on Biocomputing, eds. R. B. Altman, A. K. Dunker, L. Hunter and T. Klein, World Scientific, 1998.
Kurt Thearling, Barry Becker, Dennis DeCoste, Bill Mawby, Michel Pilote, Dan Sommerfield. Visualizing data mining models (HTML). To appear as chapter in Issues in the Integration of Data Mining and Data Visualization WWW site). Springer-Verlag, 1998.
M. S. Gilmore, R. S. Saunders, R. Castano T. Mann, E. Mjolsness, and T. L. Roush. Spectroscopic Measurements at Silver Lake, CA Testbed for the FIDO Rover. American Geophysical Union annual meeting abstracts, 1998.
M.C. Burl, P. Perona. Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. in IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, (Santa Barbara, CA), June 1998. (abstract).
M.C. Burl, M. Weber, P. Perona. A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. in European Conf. on Computer Vision, June 1998. (abstract).
M.C. Burl, L. Asker, P. Smyth, U. Fayyad, P. Perona, J. Aubele, and L. Crumpler. Learning to Recognize Volcanoes on Venus, Machine Learning, April 1998.
M.C. Burl. System Finds Objects of Interest in an Image Data Base. in NASA Tech Briefs, April 1998.
P. Smyth, M. Ghil, and K. Ide. Multiple regimes in Northern hemisphere height fields via mixture model clustering. UC Irvine Technical Report UCI-ICS 98-08, 1998.
P. Smyth. Model selection for probabilistic clustering using cross-validated likelihood. UC Irvine Technical Report UCI-ICS 98-09, 1998.
Steven Gold, Chien-Ping Lu. New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. Pattern Recognition Vol. 31 No. 8, pp. 1019-1031 August 1998.
T.K. Leung, M.C. Burl, P. Perona. Probabilistic Affine Invariants for Recognition. in IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, (Santa Barbara, CA), June 1998. (abstract).
Willard L. Miranker and Eric Mjolsness. A Lagrangian Formulation of Neural Networks II: Clocked Objective Functions and Applications. Neural, Parallel and Scientific Computations, Vol 6 No. 3, pp. 337-372, 1998.