scholarly journals Pattern Masking Estimation in Image With Structural Uncertainty

2013 ◽  
Vol 22 (12) ◽  
pp. 4892-4904 ◽  
Author(s):  
Jinjian Wu ◽  
Weisi Lin ◽  
Guangming Shi ◽  
Xiaotian Wang ◽  
Fu Li
1972 ◽  
Vol 34 (3) ◽  
pp. 903-908 ◽  
Author(s):  
Gary C. Galbraith ◽  
Jack B. Gliddon

10 mentally retarded and 10 age-matched nonretarded (normal) Ss were tested under two conditions of backward visual masking: with a homogeneous masking flash and with a pattern masking flash. The results showed that retardates had higher thresholds (impaired detection of the test flash) than nonretardates under both masking conditions, but especially with the pattern masking flash. These results are interpreted in light of published reports that masking with a homogeneous flash occurs peripherally, while masking with a pattern flash occurs centrally. Hence, the inferior performance of retardates under conditions of pattern masking implies primarily central perceptual deficits. In addition, evidence is presented that such deficits may be related to the actual degree of intellectual ability.


2020 ◽  
Author(s):  
Alexander Howarth ◽  
Kristaps Ermanis ◽  
Jonathan Goodman

<div> <p>A robust system for automatic processing and assignment of raw 13C and 1H NMR data DP4-AI has been developed and integrated into our computational organic molecule structure elucidation workflow. Starting from a molecular structure with undefined stereochemistry or other structural uncertainty, this system allows for completely automated structure elucidation. Methods for NMR peak picking using objective model selection and algorithms for matching the calculated 13C and 1H NMR shifts to peaks in noisy experimental NMR data were developed. DP4-AI achieved a 60-fold increase in processing speed, and near-elimination of the need for scientist time, when rigorously evaluated used a challenging test set of molecules. DP4-AI represents a leap forward in NMR structure elucidation and a step-change in the functionality of DP4. It enables high-throughput analyses of databases and large sets of molecules, which were previously impossible, and paves the way for the discovery of new structural information through machine learning. This new functionality has been coupled with an intuitive GUI and is available as open-source software at https://github.com/KristapsE/DP4-AI.</p> </div> <br>


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