An image feature within image data may be identified and located from the maximum values in a Hough voting table. The Hough voting table may be generated by converting edge pixels identified with an image data into an array. The array may be read in row order with theta on the outside ...
Identifying patterns in dataWenlong LiJianguo LiTao Wang
Although many of the identified phenotypes/features associated with wild-type ATTR-CM that we identified in the medical claims data are already well described in the literature, a strength of our ML approach is the ability to automatically identify patterns suggestive of ATTR-CM, which may not ...
Regardless, there's never been a good way to parse the transaction logs and extract any useful patterns. In lieu of rolling up my sleeves and actually writing code to accomplish such a task, I've slapped together a bunch of utilities that will do the job. Ugly? Sure. Useful?...
To further show the generality of the approach, we next applied the methodology to histone mark ChIP-seq data, which present broad peaks with variable length. For classifying these broad-peak patterns, we adapted the peak-shape approach to use annotated gene regions as additional input. Rather ...
R2 of our method is shown on the right bottom in each panel. Full size image Discussions In this paper, we show that our GPR models accurately estimate the capacity and predict the RUL using EIS spectra of cells with different degradation patterns cycled at various temperatures but under ...
Identifying the Patterns of Growth and Decline MCT Written by the Mindtools Content TeamLet's join Mindtools to have an ad free experience! Join Now! What stage of growth is your organization in? xeni4ka / © iStockphoto Companies are like living beings: they're born, they grow, they...
Effective case management of juvenile offenders requires differential treatment of juveniles that is based on clearly established patterns of need and risk ascertained by valid risk prediction tools. This study was the first attempt to determine whether profiles of offenders would provide valid and useful...
(CNN). CNN can automatically learn genomic patterns from the viral and prokaryotic sequences and simultaneously build a predictive model based on the learned genomic patterns. The learned patterns are represented in the form of weight matrices of size 4 by k, where k is the length of the ...
These repetitive elements may lead the algorithm to converge to such patterns. In MEME, this difficulty was addressed by two heuristic algorithms (SQUASH and SMOOTH) (Bailey and Elkan, 1995) to ensure the total probability within a subsequence from all sites was at most 1.0. By considering ...