Results 261 to 270 of about 121,104 (312)

Design of statistically optimal stack filters

XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481), 2003
Any gray-scale image can be represented as a "stack" of a decreasing sequence of binary images, obtained by thresholding the gray-scale image at each level. Stack filters are a special class of gray-scale image operators whose filtered images can be represented as the stack of binary images resulting from applying an increasing binary operator for each
Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty   +2 more
openaire   +1 more source

A global optimization technique for statistical classifier design

IEEE Transactions on Signal Processing, 1996
A global optimization method is introduced that minimize the rate of misclassification. We first derive the theoretical basis for the method, on which we base the development of a novel design algorithm and demonstrate its effectiveness and superior performance in the design of practical classifiers for some of the most popular structures currently in ...
David J. Miller 0001, Ajit V. Rao, Kenneth Rose, Allen Gersho   +3 more
openaire   +1 more source

Assay Optimization: A Statistical Design of Experiments Approach

JALA: Journal of the Association for Laboratory Automation, 2006
With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments.
Maneesha, Altekar, Carol A, Homon, Mohammed A, Kashem, Steven W, Mason, Richard M, Nelson, Lori A, Patnaude, Jeffrey, Yingling, Paul B, Taylor   +7 more
openaire   +2 more sources

Statistical interconnect metrics for physical-design optimization

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006
In this paper, statistical models for the efficient analysis of interconnect delay and crosstalk noise in the presence of back-end process variations are developed. The proposed models enable closed-form computation of means and variances of interconnect-delay, crosstalk-noise peak, and coupling-induced-delay change for given magnitudes of variation in
Kanak Agarwal 0001, Mridul Agarwal, Dennis Sylvester, David T. Blaauw   +3 more
openaire   +1 more source

Statistically Designed Optimization of a Glass Composition

Journal of the American Ceramic Society, 1984
An efficient, statistically based methodology for development and optimization of multicomponent materials is presented. The approach is illustrated with a five‐component nuclear waste glass. A composition field is defined, test compositions are statistically chosen, and their measured property data are used to fit empirical models.
L. A. CHICK, G. F. PIEPEL
openaire   +1 more source

D-optimal onion designs in statistical molecular design

Chemometrics and Intelligent Laboratory Systems, 2004
Statistical molecular design (SMD) is a technique for selecting a representative (diverse) set of substances in combinatorial chemistry and QSAR, as well as other areas depending on optimising chem ...
Ing-Marie Olsson, Johan Gottfries, Svante Wold   +2 more
openaire   +1 more source

DRAM Yield Analysis and Optimization by a Statistical Design Approach

IEEE Transactions on Circuits and Systems I: Regular Papers, 2011
In this paper the electric yield of DRAM core circuits is investigated by means of a statistical approach that incorporates a hierarchical linear Gaussian model for the DRAM core sensing process and a lognormal distribution model for the DRAM cell leakage.
Yan Li 0030, Helmut Schneider, Florian Schnabel 0002, Roland Thewes, Doris Schmitt-Landsiedel   +4 more
openaire   +1 more source

Optimal Design and Related Areas in Optimization and Statistics

2009
This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ...
Pronzato, Luc, Zhigljavsky, Anatoly
openaire   +2 more sources

Statistical design and optimization of SRAM cell for yield enhancement

IEEE/ACM International Conference on Computer Aided Design, 2004. ICCAD-2004., 2005
We have analyzed and modeled the failure probabilities of SRAM cells due to process parameter variations. A method to predict the yield of a memory chip based on the cell failure probability is proposed. The developed method is used in an early stage of a design cycle to minimize memory failure probability by statistically sizing of SRAM cell.
Saibal Mukhopadhyay, Hamid Mahmoodi-Meimand, Kaushik Roy 0001   +2 more
openaire   +1 more source

Max–min optimal discriminating designs for several statistical models

Statistics and Computing, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiara Tommasi, Raúl Martín Martín, Jesús López-Fidalgo   +2 more
openaire   +3 more sources