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ICPADS
2006
IEEE
13 years 10 months ago
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...

Publication
204views
13 years 1 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
IJCBDD
2008
113views more  IJCBDD 2008»
13 years 4 months ago
Parsimony accelerated Maximum Likelihood searches
: Phylogenetic search is a key tool used in a variety of biological research endeavors. However, this search problem is known to be computationally difficult, due to the astronomic...
Kenneth Sundberg, Timothy O'Connor, Hyrum Carroll,...
SAC
2011
ACM
12 years 11 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
13 years 10 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta