Tsitsiklis, J.N., D.P. Bertsekas, and M. Athans. 1986. Distributed asynchronous deterministic and stochastic gradient optimization algorithms. IEEE Transactions on Automatic Control 31(9):803-812.

Wainwright, M.J., and M.I. Jordan. 2003. Graphical models, exponential families and variational inference. Foundations and Trends in Machine Learning 1:1-305.

Zhang, T. 2004. Solving large scale linear prediction problems using stochastic gradient descent algorithms. Pp. 919-926 in Proceedings of the 21st International Conference on Machine Learning. Association for Computing Machinery, New York, N.Y.

Zokai, S., and G. Wolberg. 2005. Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations. IEEE Transactions on Image Processing 14(10):1422-1434.



The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement