D. P. Bertsekas and J. N. Tsitsiklis. Parallel and Distributed Computation: Numerical Methods. Prentice-Hall, Englewood Cliffs, NJ, 1989.
P. J. Besl and N. D. McKay. A method for registration of 3-d shapes. IEEE Trans. Patt. Anal. Mach. Intell., 14(2):239–256, Feb. 1992.
M. Black and A. Rangarajan. On the Unification of Line Processes, Outlier Detection and Robust Statistics with Applications in Early Vision. Intl. J. Computer Vision, 19(1):57–91, 1996.
F. L. Bookstein. Morphometric tools for landmark data: Geometry and biology. Cambridge University Press, 1991.
F. L. Bookstein. Landmark methods for forms without landmarks: Localizing group differences in outline shape. In A. Amini, F. L. Bookstein, and D. Wilson, editors, Proc. of the Workshop on Mathematical Methods in Biomedical Image Analysis, pages 279–289. IEEE Computer Society Press, 1996.
J. Canny. A Computational Approach to Edge Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6):679–698, Nov. 1986.
S. Gold, A. Rangarajan, and E. Mjolsness. Learning with preknowledge: clustering with point and graph matching distance measures. Neural Computation, 8(4):787–804, 1996.
C. Goodall. Procrustes methods in the statistical analysis of shape. J. R. Statist. Soc. B, 53(2):285–339, 1991.
W. D. K. Green. The thin-plate spline and images with curving features. In K. V. Mardia, C. A. Gill, and I. L. Dryden, editors, Proceedings in image fusion and shape variability techniques, pages 79–97. Leeds University Press, 1996.
J. Hertz, A. Krogh, and R. G. Palmer. Introduction to the Theory of Neural Computation, volume 1 of A Lecture Notes volume in the Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley, New York, 1991.
D. G. Kendall. Shape-manifolds, Procrustean metrics and complex projective spaces. Bulletin of the London Mathematical Society, 16:81–121, 1984.
J. J. Kosowsky and A. L. Yuille. The invisible hand algorithm: Solving the assignment problem with statistical physics. Neural Networks, 7(3):477–490, 1994.
D. Luenberger. Linear and Nonlinear Programming. Addison-Wesley, Reading, MA, 1984.
A. Rangarajan, S. Gold, and E. Mjolsness. A novel optimizing network architecture with applications. Neural Computation, 8(5):1041–1060, 1996.
A. Rangarajan, E. Mjolsness, S. Pappu, L. Davachi, P. Goldman-Rakic, and J. Duncan. A Robust Point Matching Algorithm for Autoradiograph Alignment. In K. H. Hohne and R. Kikinis, editors, Fourth International Conference on Visualization in Biomedical Computing, Lecture Notes in Computer Science, LNCS 1131, pages 277–286. Springer, New York, NY, 1996.
R. Sinkhorn. A relationship between arbitrary positive matrices and doubly stochastic matrices. Ann. Math. Statist., 35:876–879, 1964.
C. Small. The Statistical theory of shape. Springer-Verlag, 1996.
L. Sokoloff, M. Revich, C. Kennedy, M. H. DesRosiers, C. S. Patlak, K. D. Pettigrew, O. Sakurada, and M. Shinohara. The C14-deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat. J. Neurochem., 28:897–916, 1977.
P. Van den Elsen. Multimodality matching of brain images. PhD thesis, Utrecht University, Utrecht, Netherlands, 1993.
A. L. Yuille and J. J. Kosowsky. Statistical physics algorithms that converge. Neural Computation, 6(3):341–356, May 1994.