User profiles for Mark Berman

Mark Berman

- Verified email at csiro.au - Cited by 7093

Mark Berman

- Verified email at sift.net - Cited by 1197

Mark A. Berman

- Verified email at bettertx.com - Cited by 376

A transformation for ordering multispectral data in terms of image quality with implications for noise removal

AA Green, M Berman, P Switzer… - IEEE Transactions on …, 1988 - ieeexplore.ieee.org
A transformation known as the maximum noise fraction (MNF) transformation, which always
produces new components ordered by image quality, is presented. It can be shown that this …

GENI: A federated testbed for innovative network experiments

M Berman, JS Chase, L Landweber, A Nakao, M Ott… - Computer Networks, 2014 - Elsevier
GENI, the Global Environment for Networking Innovation, is a distributed virtual laboratory
for transformative, at-scale experiments in network science, services, and security. Designed …

Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform

JB Lee, AS Woodyatt, M Berman - IEEE Transactions on …, 1990 - ieeexplore.ieee.org
High-spectral-resolution remote-sensing data are first transformed so that the noise covariance
matrix becomes the identity matrix. Then the principal components transform is applied. …

Inhomogeneous and modulated gamma processes

M Berman - Biometrika, 1981 - academic.oup.com
Two classes of point processes, the inhomogeneous and modulated gamma processes, are
defined. Asymptotic test statistics of stationarity are derived for modulated gamma …

ICE: A statistical approach to identifying endmembers in hyperspectral images

M Berman, H Kiiveri, R Lagerstrom… - IEEE transactions on …, 2004 - ieeexplore.ieee.org
Several of the more important endmember-finding algorithms for hyperspectral data are
discussed and some of their shortcomings highlighted. A new algorithm - iterated constrained …

Approximating point process likelihoods with GLIM

M Berman, TR Turner - Journal of the Royal Statistical Society …, 1992 - Wiley Online Library
This paper shows how approximate maximum likelihood estimation for fairly general point
processes on the line can be performed with GLIM. The approximation is based on a weighted …

Estimating weighted integrals of the second-order intensity of a spatial point process

M Berman, P Diggle - Journal of the Royal Statistical Society …, 1989 - academic.oup.com
This paper considers the nonparametric estimation of the integral J = ∫ 0 T t λ 2 ( t ) φ ( t ) d t
where λ 2 (t) is the unknown second-order intensity function of a two-dimensional stationary …

Testing for spatial association between a point process and another stochastic process

M Berman - Journal of the Royal Statistical Society Series C …, 1986 - academic.oup.com
Motivated by a problem in geology, this paper proposes some tests of the spatial association
between a point process and some other stochastic process of geometric structures, G. All …

Spatial logistic regression and change-of-support in Poisson point processes

A Baddeley, M Berman, NI Fisher, A Hardegen… - 2010 - projecteuclid.org
In Geographical Information Systems, spatial point pattern data are often analysed by dividing
space into pixels, recording the presence or absence of points in each pixel, and fitting a …

CynD, the Cyanide Dihydratase from Bacillus pumilus: Gene Cloning and Structural Studies

D Jandhyala, M Berman, PR Meyers… - Applied and …, 2003 - Am Soc Microbiol
The cyanide dihydratase in Bacillus pumilus was shown to be an 18-subunit spiral structure
by three-dimensional reconstruction of electron micrographs of negatively stained material …