Approximating Large Convolutions in Digital Images (2007)
Mount, D. M., Kanungo, T., Netanyahu, N. S., Piatko, C., Silverman, R., Wu, A. Y.
Computing discrete two-dimensional convolutions is an important problem in image processing. In mathematical morphology, an important variant is that of computing binary convolutions, where the...
The Analysis of a Simple k-Means Clustering Algorithm (2007)
Kanungo, T., Mount, D. M., Netanyahu, N. S., Piatko, C., Silverman, R., Wu, A. Y.
K-means clustering is a very popular clustering technique which is used in numerous applications. Given a set of n data points in R(exp d) and an integer k, the problem is to determine a set of k...
R. M. Haralick, E. Dougherty, J. Ha, T. Kanungo, S. Karasu, C. K. Lee, ...
This paper first introduces a parametric model for the generation of stationary random correlated binary sequences. The parameters of the model include the probability that a pixel is a binary one...
Approximating Large Convolutions in Digital Images (1999)
D. M. Mount, T. Kanungo, N. S. Netanyahu, C. Piatko, R. Silverman, A. Y. Wu
Computing discrete two-dimensional convolutions is an important problem in image processing. In mathematical morphology, an important variant is that of computing binary convolutions, where the...