"A Measure Theory Tutorial (Measure Theory for Dummies)," Maya R. Gupta, UW EE Technical Report Series 2006-0008, 2006.

"A multiresolutional estimated gradient architecture for global optimization," Megan Hazen and Maya R. Gupta, Congress on Evolutionary Computing , 2006.

"Distribution-based Bayesian minimum expected risk parametric classification," Santosh Srivastava and Maya R. Gupta, Proc of the IEEE Intl. Symposium on Information Theory, 2006.

"Global Optimization for Multiple Transmitter Localization," J. K. Nelson, M. U. Hazen and M. R. Gupta, MILCOM, 2006.

"Information-theoretic and set-theoretic similarity," Luca Cazzanti and Maya R. Gupta, Proc. of the IEEE Intl. Symposium on Information Theory, 2006.

"Minimum Expected Risk Estimation for Near-neighbor Classification," Maya R. Gupta, S. Srivastava and L. Cazzanti, Univ. of Washington Dept. of Electrical Engineering Technical Report 2006-0006, 2006.

"Nonparametric supervised learning by linear interpolation with maximum entropy," Maya R. Gupta, Robert M. Gray, and Richard A. Olshen, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 766-781, 2006. LIME Code

"On minimizing distortion and relative entropy," Michael P. Friedlander and Maya R. Gupta, IEEE Trans. on Information Theory, vol. 52, no. 1, pp. 238-245, 2006.

"Reverse Engineering the Sound of Jazz," L. Cazzanti, V. Hasbrook, M. R. Gupta, UW EE Technical Report Series 2006-0011, 2006. Hasbrook Doctoral Thesis

"Wavelet principal component analysis and its application to hyperspectral imagery," Maya R. Gupta and Nathaniel P. Jacobson, IEEE Intl. Conf. on Image Processing , 2006.